—°F Boise, ID
◈ Cross-Vertical Intelligence · Treasure Valley · Boise Standard

Data Center ↔ relates to ↔ Technology

27 Wikipedia bridge articles confirmed in both vertical ledgers. 145 deterministic cross-vertical edges. 3,559 external source links harvested. Every edge provenance-stamped. Every claim auditable.

27 QID Bridge Articles
145 Cross Edges
3,559 External Sources
180 Wikipedia Articles
27 🌲 Evergreen
87 🌿 Branch
HIGH SIGNAL · refinery-treasurevalley-v1.0.0
◈ Machine-Readable Schema
Deterministic Cross-Vertical Summary
PASS 2 · ZERO LLM
Entities Compared
Data Center
× Technology
QID Bridge Articles
27
confirmed Wikipedia overlap
Total Cross Edges
145
External Sources Harvested
3,559
from Wikipedia external links
Geography
Treasure Valley, Ada County, Canyon County, Idaho, United States
Gate Tier
high
Haiku FAQ generated
Strongest Edge
Treasure Valley
score: 1.0700  ·  type: exact_title_cross  ·  11 shared tokens
QID Bridge Titles (20)
Treasure ValleyMeta PlatformsTelecommunicationsRedundancy (engineering)Data centerMachine learningColocationIdaho PowerIdaho Department of CommerceHyperscale computingSoftware as a serviceComputer coolingMicron TechnologyEdge computingComputer securityPower usage effectivenessBoise, IdahoBackbone networkManaged servicesFiber-optic communication
Shared Semantics (20 tokens)
idahodataboisepowersystemscomputingdevelopmenttechnologyinternetnetworksinfrastructuredigitalelectricalphysicalcenterdemandlocalglobalnetworksingle
Pipeline
refinery-treasurevalley-v1.0.0
Generated
2026-07-17 20:20:30 UTC
Content Hash
79d7eabb916f2249
◈ Wikipedia Bridge Articles
QID Overlap — Confirmed in Both Vertical Ledgers
27 BRIDGES
Treasure Valley
Q7836726 EXACT TITLE 1.070
QID OVERLAP: Q7836726 in data_center (tier:evergreen) and technology (tier:evergreen). | SHARED TOKENS (11): "boise", "commerce", "diverse", "historically", "idaho", "land", "local", "region", "treasure", "valley", "western". | URL->B (1): https://www.hpmuseum.net/divisions.php?did=9. | EXACT TITLE in data_center: "Treasure Valley". | EXACT TITLE in technology: "Treasure Valley".
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The Treasure Valley is a valley in the western United States, primarily in southwestern Idaho, where the Payette, Boise, Weiser, Malheur, and Owyhee rivers drain into the Snake River. It includes all the lowland areas from Vale in rural eastern Oregon to Boise, and is the most populated area in Idaho. Historically, the valley had been known as the Lower Snake River Valley or the Boise River Valley. Pete Olesen, president of the valley's association of local Chambers of Commerce, coined the name "Treasure Valley" in 1959 to reflect the treasure chest of resources and opportunities that the region offered. The valley has a very diverse terrain, from sage flatlands, to mesas, agricultural areas, and urbanized areas.
eflect the treasure chest of resources and opportunities that the region offered. The valley has a very diverse terrain, from sage flatlands, to mesas, agricultural areas, and urbanized areas. As the Boise Metropolitan Area grows, more and more undeveloped and agricultural land is being urbanized. History Settling the region The tribes that roamed the area, specifically, were the Northern Paiute and Shoshone. In 1834, Thomas McKay built the original Fort Boise, in the area near present-day Parma, which was run for a time by Francois Payette. It later was moved because of flooding troubles and was abandoned in 1854. The Oregon Trail runs through the Treasure Valley. The valley was settled for the most part by ranchers and farmers, initially to supply the gold and silver mining communities in the higher elevations nearby: Idaho City in the Boise Basin and Silver City in the Owyhees. A new Fort Boise was constructed by the U.S. Army in 1863 in present-day Boise, from which the city grew.
icultural land is being urbanized. History Settling the region The tribes that roamed the area, specifically, were the Northern Paiute and Shoshone. In 1834, Thomas McKay built the original Fort Boise, in the area near present-day Parma, which was run for a time by Francois Payette. It later was moved because of flooding troubles and was abandoned in 1854. The Oregon Trail runs through the Treasure Valley. The valley was settled for the most part by ranchers and farmers, initially to supply the gold and silver mining communities in the higher elevations nearby: Idaho City in the Boise Basin and Silver City in the Owyhees. A new Fort Boise was constructed by the U.S. Army in 1863 in present-day Boise, from which the city grew.
Meta Platforms
Q380 EXACT TITLE 1.000
QID OVERLAP: Q380 in data_center (tier:evergreen) and technology (tier:branch). | SHARED TOKENS (17): "business", "described", "development", "digital", "established", "global", "largest", "list", "market", "meta", "network", "platforms", "public", "rebranded", "social", "technology", "third". | EXACT TITLE in data_center: "Meta Platforms".
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Meta Platforms, Inc. (doing business as Meta) is an American multinational technology company headquartered in Menlo Park, California. Meta owns and operates several prominent social media platforms and communication services, including Facebook, Instagram, WhatsApp, Messenger, and Threads. The company also operates an advertising network for its own sites and third parties; as of 2023, advertising accounted for 97.8 percent of its total revenue. Meta has been described as a part of Big Tech, which refers to the largest six tech companies in the United States, Alphabet (Google), Amazon, Apple, Meta (Facebook), Microsoft, and Nvidia, which are also the largest companies in the world by market capitalization. The company was originally established in 2004 as TheFacebook, Inc., and was renamed Facebook, Inc. in 2005. In 2021, it rebranded as Meta Platforms, Inc. to reflect a strategic shift toward developing the metaverse—an interconnected digital ecosystem spanning virtual and augmented reality technologies. In 2023, Meta was ranked 31st on the Forbes Global 2000 list of the world's largest public companies.
Facebook filed for an initial public offering (IPO) on January 1, 2012. The preliminary prospectus stated that the company sought to raise $5 billion, had 845 million monthly active users, and a website accruing 2.7 billion likes and comments daily. After the IPO, Zuckerberg would retain 22% of the total shares and 57% of the total voting power in Facebook. Underwriters valued the shares at $38 each, valuing the company at $104 billion, the largest valuation yet for a newly public company. On May 16, one day before the IPO, Facebook announced it would sell 25% more shares than originally planned due to high demand. The IPO raised $16 billion, making it the third-largest in US history (slightly ahead of AT&T Mobility and behind only General Motors and Visa). The stock price left the company with a higher market capitalization than all but a few U.S. corporations—surpassing heavyweights such as Amazon, McDonald's, Disney, and Kraft Foods—and made Zuckerberg's stock worth $19 billion. The New York Times stated that the offering overcame questions about Facebook's difficulties in attracting advertisers to transform the company into a "must-own stock". Jimmy Lee of JPMorgan Chase described it as "the next great blue-chip". Writers at TechCrunch, on the other hand, expressed skepticism, stating, "That's a big multiple to live up to, and Facebook will likely need to add bold new revenue streams to justify the mammoth valuation." Trading in the stock, which began on May 18, was delayed that day due to technical problems with the Nasdaq exchange. The stock struggled to stay above the IPO price for most of the day, forcing underwriters to buy back shares to support the price. At the closing bell, shares were valued at $38.23, only $0.23 above the IPO price and down $3.82 from the opening bell value. The opening was widely described by the financial press as a disappointment. The stock set a new record for trading volume of an IPO. On May 25, 2012, the stock ended its first full week of trading at $31.91, a 16.5% decline. On May 22, 2012, regulators from Wall Street's Financial Industry Regulatory Authority announced that it had begun to investigate whether banks underwriting Facebook had improperly shared information only with select clients rather than the general public. Massachusetts Secretary of State William F. Galvin subpoenaed Morgan Stanley over the same issue. The allegations sparked "fury" among some investors and led to the immediate filing of several lawsuits, one of them a class action suit claiming more than $2.5 billion in losses due to the IPO. Bloomberg estimated that retail investors may have lost approximately $630 million on Facebook stock since its debut. S&P Global Ratings added Facebook to its S&P 500 index on December 21, 2013. On May 2, 2014, Zuckerberg announced that the company would be changing its internal motto from "Move fast and break things" to "Move fast with stable infrastructure". The earlier motto had been described as Zuckerberg's "prime directive to his developers and team" in a 2009 interview in Business Insider, in which he also said, "Unless you are breaking stuff, you are not moving fast enough." In November 2016, Facebook announced the Microsoft Windows client of gaming service Facebook Gameroom, formerly Facebook Games Arcade, at the Unity Technologies developers conference. The client allows Facebook users to play "native" games in addition to its web games.
2018–2020: Focus on the metaverse Lasso was a short-video sharing app from Facebook similar to TikTok that was launched on iOS and Android in 2018 and was aimed at teenagers. On July 2, 2020, Facebook announced that Lasso would be shutting down on July 10. In 2018, the Oculus lead Jason Rubin sent his 50-page vision document titled "The Metaverse" to Facebook's leadership. In the document, Rubin acknowledged that Facebook's virtual reality business had not caught on as expected, despite the hundreds of millions of dollars spent on content for early adopters. He also urged the company to execute fast and invest heavily in the vision, to shut out HTC, Apple, Google and other competitors in the VR space. Regarding other players' participation in the metaverse vision, he called for the company to build the "metaverse" to prevent its competitors from "being in the VR business in a meaningful way at all". In May 2019, Facebook founded Libra Networks, reportedly to develop its own stablecoin cryptocurrency. Later, it was reported that Libra was being supported by financial companies such as Visa, Mastercard, PayPal and Uber. The consortium of companies was expected to pool in $10 million each to fund the launch of the cryptocurrency coin named Libra. Depending on when it would receive approval from the Swiss Financial Market Supervisory authority to operate as a payments service, the Libra Association had planned to launch a limited format cryptocurrency in 2021. Libra was renamed Diem, before being shut down and sold in January 2022 after backlash from Swiss government regulators and the public. During the COVID-19 pandemic, the use of online services, including Facebook, grew globally. Zuckerberg predicted this would be a "permanent acceleration" that would continue after the pandemic.
Telecommunications
Q418 EXACT TITLE 1.000
QID OVERLAP: Q418 in data_center (tier:branch) and technology (tier:evergreen). | SHARED TOKENS (17): "access", "data", "development", "digital", "electrical", "global", "internet", "means", "networks", "physical", "power", "signals", "single", "technology", "telecom", "transmission", "won". | EXACT TITLE in technology: "Telecommunications".
accessdatadevelopmentdigitalelectricalglobalinternetmeansnetworksphysicalpowersignalssingletechnologytelecomtransmissionwon
dually been supplemented by data. The physical limitations of metallic media prompted the development of optical fibre. The Internet, a technology independent of any given medium, has provided global access to services for individual users and further reduced location and time limitations on communications. Definition At the 1932 Plenipotentiary Telegraph Conference and the International Radiotelegraph Conference in Madrid, the two organizations merged to form the International Telecommunication Union (ITU). They defined telecommunication as "any telegraphic or telephonic communication of signs, signals, writing, facsimiles and sounds of any kind, by wire, wireless or other systems or processes of electric signaling or visual signaling (semaphores)." The definition was later reconfirmed, according to Article 1.3 of the ITU Radio Regulations, which defined it as "Any transmission, emission or reception of signs, signals, writings, images and sounds or intelligence of any nature by wire, radio, optical, or other electromagnetic systems". As such, slow communications technologies like postal mail and pneumatic tubes are excluded from the telecommunication's definition. The term telecommunication was coined in 1904 by the French engineer and novelist Édouard Estaunié, who defined it as "remote transmission of thought through electricity". Telecommunication is a compound noun formed from the Greek prefix tele- (τῆλε), meaning distant, far off, or afar, and the Latin verb communicare, meaning to share. Communication was first used as an English word in the late 14th century.
Macroeconomics On the macroeconomic scale, Lars-Hendrik Röller and Leonard Waverman suggested a causal link between good telecommunication infrastructure and economic growth. Few dispute the existence of a correlation although some argue it is wrong to view the relationship as causal. Because of the economic benefits of good telecommunication infrastructure, there is increasing worry about the inequitable access to telecommunication services amongst various countries of the world—this is known as the digital divide. A 2003 survey by the International Telecommunication Union (ITU) revealed that roughly a third of countries have fewer than one mobile subscription for every 20 people and one-third of countries have fewer than one land-line telephone subscription for every 20 people. In terms of Internet access, roughly half of all countries have fewer than one out of 20 people with Internet access. From this information, as well as educational data, the ITU was able to compile an index that measures the overall ability of citizens to access and use information and communication technologies.
Social impact Telecommunication has played a significant role in social relationships. Nevertheless, devices like the telephone system were originally advertised with an emphasis on the practical dimensions of the device (such as the ability to conduct business or order home services) as opposed to the social dimensions. It was not until the late 1920s and 1930s that the social dimensions of the device became a prominent theme in telephone advertisements. New promotions started appealing to consumers' emotions, stressing the importance of social conversations and staying connected to family and friends. Since then the role that telecommunications has played in social relations has become increasingly important. In recent years, the popularity of social networking sites has increased dramatically. These sites allow users to communicate with each other as well as post photographs, events and profiles for others to see. The profiles can list a person's age, interests, sexual preference and relationship status. In this way, these sites can play an important role in everything from organising social engagements to courtship. Prior to social networking sites, technologies like short message service (SMS) and the telephone also had a significant impact on social interactions. In 2000, market research group Ipsos MORI reported that 81% of 15- to 24-year-old SMS users in the United Kingdom had used the service to coordinate social arrangements and 42% to flirt. Entertainment, news, and advertising In cultural terms, telecommunication has increased the public's ability to access music and film. With television, people can watch films they have not seen before in their own home without having to travel to the video store or cinema. With radio and the Internet, people can listen to music they have not heard before without having to travel to the music store. Telecommunication has also transformed the way people receive their news. A 2006 survey (right table) of slightly more than 3,000 Americans by the non-profit Pew Internet and American Life Project in the United States the majority specified television or radio over newspapers. Telecommunication has had an equally significant impact on advertising.
Redundancy (engineering)
Q1204361 EXACT TITLE 1.000
QID OVERLAP: Q1204361 in data_center (tier:evergreen) and technology (tier:evergreen). | SHARED TOKENS (22): "backup", "become", "center", "control", "creates", "critical", "data", "designed", "electrical", "goal", "important", "industry", "means", "political", "power", "redundancy", "redundant", "reliability", "risk", "small".... | EXACT TITLE in data_center: "Redundancy (engineering)". | EXACT TITLE in technology: "Redundancy (engineering)".
backupbecomecentercontrolcreatescriticaldatadesignedelectricalgoalimportantindustrymeanspoliticalpowerredundancyredundantreliabilityrisksmallsystemsystems
gineering and systems theory, redundancy is the intentional duplication of critical components or functions of a system with the goal of increasing reliability of the system, usually in the form of a backup or fail-safe, or to improve actual system performance, such as in the case of GNSS receivers, or multi-threaded computer processing. In many safety-critical systems, such as fly-by-wire and hydraulic systems in aircraft, some parts of the control system may be triplicated, which is formally termed triple modular redundancy (TMR). An error in one component may then be out-voted by the other two. In a triply redundant system, the system has three sub components, all three of which must fail before the system fails. Since each one rarely fails, and the sub components are designed to preclude common failure modes (which can then be modelled as independent failure), the probability of all three failing is calculated to be extraordinarily small; it is often outweighed by other risk factors, such as human error. Electrical surges arising from lightning strikes are an example of a failure mode which is difficult to fully isolate, unless the components are powered from independent power busses and have no direct electrical pathway in their interconnect (communication by some means is required for voting).
processors, operating systems, software, sensors, types of actuators (electric, hydraulic, pneumatic, manual mechanical, etc.) communications protocols, communications hardware, communications networks, communications paths Geographic redundancy Geographic redundancy corrects the vulnerabilities of redundant devices deployed by geographically separating backup devices.
Redundancy sometimes produces less, instead of greater reliability – it creates a more complex system which is prone to various issues, it may lead to human neglect of duty, and may lead to higher production demands which by overstressing the system may make it less safe. Redundancy is one form of robustness as practiced in computer science.
Data center
Q671224 EXACT TITLE 1.000
QID OVERLAP: Q671224 in data_center (tier:evergreen) and technology (tier:evergreen). | SHARED TOKENS (63): "alone", "around", "artificial", "building", "center", "centers", "cloud", "colocation", "connection", "consume", "control", "data", "demand", "different", "digital", "edge", "electrical", "end", "enterprise", "environmental".... | EXACT TITLE in data_center: "Data center". | EXACT TITLE in technology: "Data center".
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consumption in 2024, at a growth rate of 12% per year over the last five years. The IEA projects this amount could double to reach around 945 TWh by 2030, growing by around 15% per year. In the U.S. alone, power consumption by data centers will be "almost half of the growth in electricity demand between now and 2030." According to Terry Nguyen and Ben Green of the Michigan Environmental Justice Coalition, a single data center can "consume up to 2 megawatt hours (MWh)," the same as "the equivalent power consumption of a small town." This includes increased electricity costs. According to a study in the academic journal Npj Clean Water, it was estimated that data centers consumed about 1.7 billion liters of water per day in 2021, with 57% drawn from potable supplies, noting that fewer than one-third of operators measured their water use. Concerns over environmental impacts, energy and water use, and other costs have led to opposition to new data centers during the AI boom. These movements have been seen in parts of Europe, the U.S., and South America.
Energy consumption and the environmental impacts it creates are a central issue for data centers. Power draw ranges from a few kilowatts (kW) for small server racks to several tens of megawatts (MW) for large facilities. Modern hyperscale data centers can exhibit power densities exceeding 100 times those of conventional office buildings, primarily due to the high concentration of servers and cooling systems required to manage continuous digital workloads. For higher power density facilities, electricity costs are a dominant operating expense and account for over 10% of the total cost of ownership (TCO) of a data center. As of 2024, data centers in the U.S. are primarily powered by natural gas, which supplies 40% of their electricity (with renewable energy at 24%, nuclear at about 20%, and coal at about 15%). The Associated Press reported that electricity for AI data centers in the U.S. would likely come from natural gas or oil, as companies prefer using currently available power plants, which primarily use fossil fuels. Fossil energy is also often cheaper in locations where data centers are developed, and experts believe that energy demands from generative AI and data centers would be difficult to fulfill with renewable energy alone. Some companies such as Google, Amazon, and Meta have expressed interest in nuclear power for their data centers. As of 2020, according to the IEA, solar photovoltaic-generated electricity is at its lowest cost in history. Other data centers, including xAI's Colossus, OpenAI's Stargate, and Meta's Prometheus use their own off-grid natural gas plants. Electric vehicle and lithium-ion batteries have also been used for powering data centers, including for Colossus. Power utility companies make upgrades to their infrastructure to handle demands of new data centers, and the price for these changes typically falls on residential or smaller commercial consumers. In 2025, the Mountain Valley Pipeline announced plans to expand its capacity by 25% to meet energy needs for data centers. In December 2025, the Federal Energy Regulatory Commission (FERC) published a unanimous order allowing data centers in the U.S. to have a direct connection with power plants. United States Secretary of Energy Chris Wright expressed support for un-retiring coal plants to power AI data centers. Electricity demands from AI data centers have slowed or reversed the retirement of peaking power plants in the U.S. For example, in 2025, Southern Company announced that energy use from data centers would prevent the company from retiring coal-fired power plants as it had earlier promised. In Nevada, the Desert Research Institute (DRI) calculated that 35% of the state's energy production could go to data centers by the year 2030 if all projects planned in the state as of 2026 are completed.
PUE = ⁠Total Facility Power/IT Equipment Power⁠ = 1 + ⁠Non IT Facility Energy/IT Equipment Energy⁠ PUE measures the percentage of power used by overhead devices (cooling, lighting, etc.). The average U.S. data center has a PUE of 2.0, meaning two watts of total power (overhead + IT equipment) for every watt delivered to IT equipment. State-of-the-art data centers are estimated to have a PUE of roughly 1.2. Google publishes quarterly efficiency metrics from its data centers in operation. PUEs of as low as 1.01 have been achieved with two-phase immersion cooling. The EPA has an Energy Star rating for standalone or large data centers. To qualify for the ecolabel, a data center must be within the top quartile in energy efficiency of all reported facilities. The Energy Efficiency Improvement Act of 2015 (U.S.) requires federal facilities—including data centers—to operate more efficiently. California's Title 24 (2014) of the California Code of Regulations mandates that every newly constructed data center must have some form of airflow containment in place to optimize energy efficiency. The European Union (EU) also has a similar initiative: EU Code of Conduct for Data Centres. Efficiency improvements and renewable energy integration are helping offset some emissions, but fossil fuels remain a major electricity source for data center operations worldwide. In 2011, server racks in data centers were designed for more than 25 kW, and the typical server was estimated to waste about 30% of the electricity it consumed. The energy demand for information storage systems is also rising. A high-availability data center is estimated to have a 1 MW demand and consume $20 million in electricity over its lifetime, with cooling representing 35% to 45% of the data center's total cost of ownership. Calculations show that in two years, the cost of powering and cooling a server could be equal to the cost of purchasing the server hardware. Research in 2018 showed that a substantial amount of energy could still be conserved by optimizing IT refresh rates and increasing server use. Research for optimizing task scheduling is also underway, with researchers looking to implement energy-efficient scheduling algorithms that could reduce energy consumption by anywhere between 6% and 44%. In 2011, Facebook, Rackspace, and others founded the Open Compute Project (OCP) to develop and publish open standards for greener data center computing technologies. As part of the project, Facebook published the designs of its server, which it had built for its first dedicated data center in Prineville. Making servers taller left space for more effective heat sinks and enabled the use of fans that moved more air with less energy. By not buying commercial off-the-shelf servers, energy consumption due to unnecessary expansion slots on the motherboard and unneeded components, such as a graphics card, was also saved. In 2016, Google joined the project and published the designs of its 48V DC shallow data center rack. This design had long been part of Google data centers. By eliminating the multiple transformers usually deployed in data centers, Google had achieved a 30% increase in energy efficiency.
M
Q2539 EXACT TITLE 0.960
QID OVERLAP: Q2539 in data_center (tier:branch) and technology (tier:evergreen). | SHARED TOKENS (13): "analysis", "approximately", "artificial", "correct", "data", "deep", "described", "development", "intelligence", "networks", "related", "risk", "traditional". | EXACT TITLE in technology: "Machine learning".
analysisapproximatelyartificialcorrectdatadeepdescribeddevelopmentintelligencenetworksrelatedrisktraditional
learning approaches in performance. Statistics and mathematical optimisation methods compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning. From a theoretical viewpoint, probably approximately correct learning provides a mathematical and statistical framework for describing machine learning.
Data mining Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction based on known properties learned from the training data, data mining focuses on the discovery of previously unknown properties in the data (this is the analysis step of knowledge discovery in databases). Data mining uses many machine learning methods, but with different goals; on the other hand, machine learning also employs data mining methods as "unsupervised learning" or as a preprocessing step to improve learner accuracy. Much of the confusion between these two research communities comes from the basic assumptions they work with: in machine learning, performance is usually evaluated with respect to the ability to reproduce known knowledge, while in knowledge discovery and data mining (KDD) the key task is the discovery of previously unknown knowledge. Evaluated with respect to known knowledge, an uninformed (unsupervised) method will easily be outperformed by other supervised methods, while in a typical KDD task, supervised methods cannot be used due to the unavailability of training data. Machine learning also has intimate ties to optimization: Many learning problems are formulated as minimisation of some loss function on a training set of examples.
Statistics Machine learning and statistics are closely related fields in terms of methods, but distinct in their principal goal: statistics draws population inferences from a sample, while machine learning finds generalisable predictive patterns. Conventional statistical analyses require the a priori selection of a model most suitable for the study data set. In addition, only significant or theoretically relevant variables based on previous experience are included for analysis. In contrast, machine learning is not built on a pre-structured model; rather, the data shape the model by detecting underlying patterns.
C
EXACT TITLE 0.900
QID OVERLAP: Q2983522 in data_center (tier:evergreen) and technology (tier:evergreen). | SHARED TOKENS (10): "business", "center", "colocation", "computing", "data", "office", "single", "space", "structure", "system". | EXACT TITLE in data_center: "Colocation". | EXACT TITLE in technology: "Colocation".
businesscentercolocationcomputingdataofficesinglespacestructuresystem
Colocation or collocation may refer to: Colocation (business), the placement of several entities in a single location Colocation centre, a data center where companies can rent equipment, space, and bandwidth for computing services, known as colocation services Collocation, in corpus linguistics, a sequence of words that often occur together Collocation, a sub-type of phraseme Collocation method, used in mathematics to solve differential and integral equations Co-located office, form of organizational structure within the administrative system of the Chinese Communist Party and the People's Republic of China
I
Q3147780 EXACT TITLE 0.860
QID OVERLAP: Q3147780 in data_center (tier:evergreen) and technology (tier:evergreen). | SHARED TOKENS (8): "around", "business", "electrical", "idaho", "power", "purchased", "transmission", "utility". | EXACT TITLE in data_center: "Idaho Power". | EXACT TITLE in technology: "Idaho Power".
aroundbusinesselectricalidahopowerpurchasedtransmissionutility
mission and distribution of electricity in eastern Oregon and southern Idaho. It is a subsidiary of IDACORP, Inc. The company's 24,000-square-mile (62,000 km2) service area generally follows the area around the Snake River and its tributaries. Idaho Power owns and operates 17 hydroelectric dams and three natural gas power plants.
ricity sold by IPC was 36.8% hydroelectric, 15.4% natural gas, 13.0% coal, 9.8% wind, 5.4% solar, and, 2.3% geothermal, biomass & other, and 17.3% purchased from other generation companies. History Idaho Power Company originally filed for incorporation in Maine on May 6, 1915. It was reincorporated in Idaho as a subsidiary of IDACORP, Inc on October 1, 1998. This was followed by the purchase of the assets of five small southern Idaho power companies: Idaho-Oregon Light & Power; Great Shoshone and Twin Falls Water Power; Idaho Railway, Light & Power; Idaho Power & Light; and Southern Idaho Water Power Company. In 2018 Idaho Power sponsored the annual "Drive Electric Week" car show event at the state capitol. At the show people can learn about electric vehicles. Interest in electric vehicles has increased because of changing gas prices, improvements in battery technology, concerns for the environment and federal tax incentives for buying electric vehicles. To respond to customer interest, Idaho Power added tools to its website to guide customers investigating purchasing an electric vehicle. In 2019, Idaho Power set a goal to provide 100-percent clean energy by 2045. In addition to its hydropower facilities, which typically meet almost half its customers’ energy demands, Idaho Power plans additional investments in wind, solar and other clean sources. Clean energy resources are becoming more affordable, which could help Idaho Power accomplish its goal while keeping prices fair. Grid upgrades and battery-storage technology should help maintain Idaho Power's impressive reliability while moving the company closer to its goal. Continued energy efficiency efforts will help. Clean energy initiatives are not new to Idaho Power. In 2009, the company adopted a resolution to reduce carbon emissions. Idaho Power has reduced its carbon emissions intensity — measured in pounds of carbon dioxide (CO2) per megawatt-hour — by almost 50 percent since 2005.
3% geothermal, biomass & other, and 17.3% purchased from other generation companies. History Idaho Power Company originally filed for incorporation in Maine on May 6, 1915. It was reincorporated in Idaho as a subsidiary of IDACORP, Inc on October 1, 1998. This was followed by the purchase of the assets of five small southern Idaho power companies: Idaho-Oregon Light & Power; Great Shoshone and Twin Falls Water Power; Idaho Railway, Light & Power; Idaho Power & Light; and Southern Idaho Water Power Company. In 2018 Idaho Power sponsored the annual "Drive Electric Week" car show event at the state capitol. At the show people can learn about electric vehicles. Interest in electric vehicles has increased because of changing gas prices, improvements in battery technology, concerns for the environment and federal tax incentives for buying electric vehicles. To respond to customer interest, Idaho Power added tools to its website to guide customers investigating purchasing an electric vehicle. In 2019, Idaho Power set a goal to provide 100-percent clean energy by 2045. In addition to its hydropower facilities, which typically meet almost half its customers’ energy demands, Idaho Power plans additional investments in wind, solar and other clean sources. Clean energy resources are becoming more affordable, which could help Idaho Power accomplish its goal while keeping prices fair. Grid upgrades and battery-storage technology should help maintain Idaho Power's impressive reliability while moving the company closer to its goal. Continued energy efficiency efforts will help. Clean energy initiatives are not new to Idaho Power. In 2009, the company adopted a resolution to reduce carbon emissions. Idaho Power has reduced its carbon emissions intensity — measured in pounds of carbon dioxide (CO2) per megawatt-hour — by almost 50 percent since 2005.
Idaho Department of Commerce
Q17021846 EXACT TITLE 0.820
QID OVERLAP: Q17021846 in data_center (tier:branch) and technology (tier:evergreen). | SHARED TOKENS (6): "commerce", "development", "growth", "idaho", "public", "tax". | EXACT TITLE in technology: "Idaho Department of Commerce".
commercedevelopmentgrowthidahopublictax
The Idaho Department of Commerce is the state-level economic development agency for the State of Idaho.
Recreational technology Abundant recreational opportunities make Idaho a potential market for any business in the Recreational Technology industry. From the emerald green hillsides, timbered mountains and pristine lakes of the panhandle, to the jagged peaks of central Idaho, all the way down to the Snake River Basin with its wide open vistas and irrigated farm lands, the Gem State can provide companies with the right environment to help their businesses thrive. In addition, Idaho's diverse landscape is a prime research ground for companies to test their products in the environments where they would be used. Tourism Idaho acts as a primarily leisure-travel state. Building Idaho's economy by increasing visitor expenditures throughout the state is the goal of Idaho Department of Commerce's Tourism Development Division. The division's activities are funded by a two percent lodging tax, paid by travelers and collected by the state's hotel, motel and private campground owners. Tax collections have grown to over $9 million annually. Forty-five percent of the funds are used for statewide programs targeted to international and domestic consumers, tour operators, travel agents, travel journalists, and film industry marketing. Another forty-five percent is distributed to non-profit local and regional tourism development organizations through the Idaho Regional Travel and Convention Grant Program. The remaining ten percent is used for administration of the division. According to the U.S.
dits, and tax exemptions. Organization The department consists of five divisions: marketing; tourism development; international business; commercial innovation; and economic development. Economic Development Division Business Development provides counseling, networking, and revenue generating opportunities for entrepreneurs and helps businesses retain and develop their workforce. Community Development evaluates the economic strengths, weaknesses, and opportunities for local communities.
Hyperscale computing
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In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add computing, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google, Facebook, Twitter, Amazon, Microsoft, IBM Cloud, Oracle Cloud, or Cloudflare. Companies like Ericsson, AMD, and Intel provide hyperscale infrastructure kits for IT service providers. Companies like Scaleway, Switch, Alibaba, IBM, QTS, Neysa, Digital Realty Trust, Equinix, Oracle, Meta, Amazon Web Services, SAP, Microsoft, Google, and Cloudflare build data centers for hyperscale computing. Such companies are sometimes called "hyperscalers".
networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google, Facebook, Twitter, Amazon, Microsoft, IBM Cloud, Oracle Cloud, or Cloudflare. Companies like Ericsson, AMD, and Intel provide hyperscale infrastructure kits for IT service providers. Companies like Scaleway, Switch, Alibaba, IBM, QTS, Neysa, Digital Realty Trust, Equinix, Oracle, Meta, Amazon Web Services, SAP, Microsoft, Google, and Cloudflare build data centers for hyperscale computing. Such companies are sometimes called "hyperscalers".
ture kits for IT service providers. Companies like Scaleway, Switch, Alibaba, IBM, QTS, Neysa, Digital Realty Trust, Equinix, Oracle, Meta, Amazon Web Services, SAP, Microsoft, Google, and Cloudflare build data centers for hyperscale computing. Such companies are sometimes called "hyperscalers".
S
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are accessed via either a web application or locally-installed software. Unlike other software delivery models, SaaS separates "the possession and ownership of software from its use." SaaS use began around 2000, and by 2023 was the main form of software application deployment. SaaS products typically run on rented infrastructure as a service (IaaS) or platform as a service (PaaS) systems including hardware and sometimes operating systems and middleware, to accommodate rapid increases in usage while providing instant and continuous availability to customers. SaaS customers have the abstraction of limitless computing resources, while economy of scale drives down the cost. SaaS architectures are typically multi-tenant; usually they share resources between clients for efficiency, but sometimes they offer a siloed environment for an additional fee. Common SaaS revenue models include freemium, subscription, and usage-based fees.
ervice (IaaS) or platform as a service (PaaS) systems including hardware and sometimes operating systems and middleware, to accommodate rapid increases in usage while providing instant and continuous availability to customers. SaaS customers have the abstraction of limitless computing resources, while economy of scale drives down the cost. SaaS architectures are typically multi-tenant; usually they share resources between clients for efficiency, but sometimes they offer a siloed environment for an additional fee. Common SaaS revenue models include freemium, subscription, and usage-based fees.
Infrastructure as a service (IaaS) is the most basic form of cloud computing, where infrastructure resources—such as physical computers—are not owned by the user but instead leased from a cloud provider. As a result, infrastructure resources can be increased rapidly, instead of waiting weeks for computers to ship and set up. IaaS requires time and expertise to make use of the infrastructure in the form of operating systems and applications. Platform as a service (PaaS) includes the operating system and middleware, but not the applications. SaaS providers typically use PaaS or IaaS services to run their applications. Without IaaS, it would be extremely difficult to make an SaaS product scalable for a variable number of users while providing the instant and continual availability that customers expect. Most end users consume only the SaaS product and do not have to worry about the technical complexity of the physical hardware and operating system. Because cloud resources can be accessed without any human interactions, SaaS customers are provided with the abstraction of limitless computing resources, while economy of scale drives down the cost. Another key feature of cloud computing is that software updates can be rolled out and made available to all customers nearly instantaneously. In 2019, SaaS was estimated to make up the plurality, 43 percent, of the cloud computing market while IaaS and PaaS combined account for approximately 25 percent.
Computer cooling
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be designed to reduce power consumption and consequent heating according to workload, but more heat may still be produced than can be removed without attention to cooling. Use of heatsinks cooled by airflow reduces the temperature rise produced by a given amount of heat. Attention to patterns of airflow can prevent the development of hotspots. Computer fans are widely used along with heatsink fans to reduce temperature by actively exhausting hot air. There are also other cooling techniques, such as liquid cooling. All modern day processors are designed to cut out or reduce their voltage or clock speed if the internal temperature of the processor exceeds a specified limit. This is generally known as thermal throttling in the case of reduction of clock speeds, or thermal shutdown in the case of a complete shutdown of the device or system. Cooling may be designed to reduce the ambient temperature within the case of a computer, such as by exhausting hot air, or to cool a single component or small area (spot cooling).
given amount of heat. Attention to patterns of airflow can prevent the development of hotspots. Computer fans are widely used along with heatsink fans to reduce temperature by actively exhausting hot air. There are also other cooling techniques, such as liquid cooling. All modern day processors are designed to cut out or reduce their voltage or clock speed if the internal temperature of the processor exceeds a specified limit. This is generally known as thermal throttling in the case of reduction of clock speeds, or thermal shutdown in the case of a complete shutdown of the device or system. Cooling may be designed to reduce the ambient temperature within the case of a computer, such as by exhausting hot air, or to cool a single component or small area (spot cooling).
eds, or thermal shutdown in the case of a complete shutdown of the device or system. Cooling may be designed to reduce the ambient temperature within the case of a computer, such as by exhausting hot air, or to cool a single component or small area (spot cooling). Components commonly individually cooled include the CPU, graphics processing unit (GPU) and the northbridge. Generators of unwanted heat Integrated circuits (e.g. CPU and GPU) are the main generators of heat in modern computers.
Micron Technology
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actures computer memory and computer data storage products, including dynamic random-access memory (DRAM), flash memory, High Bandwidth Memory (HBM), and solid-state drives (SSDs). Founded in 1978 in Boise, Idaho, Micron is the only major American computer memory manufacturer. It is one of the "Big Three" computer memory manufacturers, along with the South Korean companies Samsung Electronics and SK Hynix. Micron marketed its consumer products under the brand Crucial, with the sub-brand Ballistix being used to denote products targeting gaming computers, until its disestablishment on 2026. Micron and Intel together created IM Flash Technologies, which produced NAND flash memory. It owned Lexar between 2006 and 2017. Sanjay Mehrotra has served as president and CEO of Micron since 2017. On May 26, 2026, Micron became the latest U.S.
n since 2017. On May 26, 2026, Micron became the latest U.S. company to reach a US$1 trillion market capitalization, amid surging demand for its HBM chips. History 1978–1999 Micron was founded in Boise, Idaho, in 1978 by Ward Parkinson, Joe Parkinson, Dennis Wilson, and Doug Pitman as a semiconductor design consulting company. Startup funding was provided by local Idaho businessmen Tom Nicholson, Allen Noble, Rudolph Nelson, and Ron Yanke. Later it received funding from Idaho billionaire J. R. Simplot, whose fortune was made in the potato business. In 1981, the company moved from consulting to manufacturing with the completion of its first wafer fabrication unit ("Fab 1"), producing 64K DRAM chips. In 1984, the company had its initial public offering. Micron sought to enter the market for RISC processors in 1991 with a product known as FRISC, targeting embedded control and signal processing applications. Running at 80 MHz and described as "a 64-bit processor with fast context-switching time and high floating-point performance", the design supported various features for timely interrupt handling and featured an arithmetic unit capable of handling both integer and floating-point calculations with a claimed throughput of 80 MFLOPS for double-precision arithmetic. Micron aimed to provide a "board-level demonstration supercomputer" in configurations with 256 MB or 1 GB of RAM. Having set up a subsidiary and with the product being designed into graphics cards and accelerators, Micron concluded in 1992 that the effort would not deliver the "best bang for the buck", reassigning engineers to other projects and discontinuing the endeavour. In 1994, founder Joe Parkinson retired as CEO and Steve Appleton took over as Chairman, President, and CEO. A 1996 3-way merger among ZEOS International, Micron Computer, and Micron Custom Manufacturing Services (MCMS) increased the size and scope of the company; this was followed rapidly with the 1997 acquisition of NetFrame Systems, in a bid to enter the mid-range server industry.
Since 2000 In 2000, Gurtej Singh Sandhu and Trung T. Doan at Micron initiated the development of atomic layer deposition high-k films for DRAM memory devices. This helped drive cost-effective implementation of semiconductor memory, starting with 90 nm node DRAM. Pitch double-patterning was also pioneered by Gurtej Singh Sandhu at Micron during the 2000s, leading to the development of 30-nm class NAND flash memory, and it has since been widely adopted by NAND flash and RAM manufacturers worldwide. In 2002, Micron spun off its personal computer business as MPC Corporation and put it up for sale. The company found the business difficult as the number 12 American computer maker with only 1.3 percent of the market. Micron and Intel created a joint venture in 2005, based in IM Flash Technologies in Lehi, Utah. The two companies formed another joint venture in 2011, IM Flash Singapore, in Singapore. In 2012 Micron became sole owner of this second joint venture. In 2006 Micron acquired Lexar, an American manufacturer of digital media products. The company changed leadership again in June 2007 with COO Mark Durcan becoming president. In 2008, Micron converted the Avezzano chip fab, formerly a Texas Instruments DRAM fab, into a production facility for CMOS image sensors sold by Aptina Imaging. In 2008, Micron spun off Aptina Imaging, which was acquired by ON Semiconductor in 2014. Micron retained a stake in the spinoff. However, the core company suffered setbacks and had to layoff 15 percent of its workforce in October 2008, during which period the company also announced the purchase of Qimonda's 35.6 percent stake in Inotera Memories for $400 million. The trend of layoffs and acquisitions continued in 2009 with the termination of an additional 2,000 employees, and the acquisition of the FLCOS microdisplay company Displaytech. Micron agreed to buy flash-chip maker Numonyx for $1.27 billion in stock in February 2010. On February 3, 2012, CEO Appleton died in a plane crash shortly after takeoff from the Boise Airport. He was the pilot and sole occupant of the Lancair IV aircraft. Mark Durcan replaced Appleton as the CEO shortly thereafter, eliminating his former title of president. In 2013, the Avezzano chip fab was sold to LFoundry. In the 2012 to 2014 period, Micron again went through an acquisition-layoff cycle, becoming the majority shareholder of Inotera Memories, purchasing Elpida Memory for $2 billion and the remaining shares in Rexchip, a PC memory chip manufacturing venture between Powerchip and Elpida Memory for $334 million, while announcing plans to lay off approximately 3,000 workers. Through the Elpida acquisition, Micron became a major supplier to Apple Inc. for the iPhone and iPad. In December 2016 Micron finished acquiring the remaining 67 percent of Inotera, making it a 100 percent subsidiary of Micron. In April 2017, Micron announced Sanjay Mehrotra as the new president and CEO to replace Mark Durcan. In June 2017 Micron announced it was discontinuing the Lexar retail removable media storage business and putting some or all of it up for sale. In August of that year the Lexar brand was acquired by Longsys, a flash memory company based in Shenzhen, China. In May 2018, Micron Technology and Intel launched QLC NAND memory to increase storage density. The company ranked 150th on the Fortune 500 list of largest United States corporations by revenue. In February 2019, the first microSD card with a storage capacity of 1 terabyte (TB) was announced by Micron. As of March 2020 3.84TB Micron 5210 Ion is the cheapest large-capacity SSD in the world. In September 2020 the company introduced the world's fastest discrete graphics memory solution. Working with computing technology leader Nvidia, Micron debuted GDDR6X in the Nvidia GeForce RTX 3090 and GeForce RTX 3080 graphics processing units (GPUs). In November 2020, the company unveiled a new 176-layer 3D NAND module. It offers improved read and write latency and is slated to be used in the production of a new generation of solid-state drives. On October 22, 2021, Micron closed the sale of IM Flash's Lehi, Utah fab to Texas Instruments for a sale price of US$900 million. In February 2022, Micron announced that it would discontinue its Ballistix gaming brand. With the passage of the CHIPS and Science Act, Micron announced its pledge to invest billions in new manufacturing within the United States. In September 2022, Micron announced it would invest $15 billion in a new facility in Boise, Idaho. In October 2022, Micron announced a $100 billion expansion in Clay, New York. Micron Technology owed Netlist, Inc. $445 million in damages for infringing Netlist's patents related to memory-module technology for high-performance computing. The jury found that Micron's semiconductor-memory products violated two of Netlist's patents willfully, potentially allowing the judge to triple the damages. Netlist had sued Micron in 2022, accusing three of its memory-module lines of patent infringement, which Micron denied, also arguing the patents' invalidity. The U.S.
Edge computing
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the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data center. The term began being used in the 1990s to describe content delivery networks—these were used to deliver website and video content from servers located near users. In the early 2000s, these systems expanded their scope to hosting other applications, leading to early edge computing services.
Definition Edge computing involves running computer programs that deliver quick responses close to where requests are made. Karim Arabi, during an IEEE DAC 2014 keynote and later at an MIT MTL Seminar in 2015, described edge computing as computing that occurs outside the cloud, at the network's edge, particularly for applications needing immediate data processing. Edge computing is often equated with fog computing, particularly in smaller setups. However, in larger deployments, such as smart cities, fog computing serves as a distinct layer between edge computing and cloud computing, with each layer having its own responsibilities. "The State of the Edge" report explains that edge computing focuses on servers located close to the end-users.
Concept In 2018, the world's data was expected to grow 61 percent to 175 zettabytes by 2025. According to research firm Gartner, around 10 percent of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, the firm predicts that this figure will reach 75 percent. The increase in IoT devices at the edge of the network is producing a massive amount of data — storing and using all that data in cloud data centers pushes network bandwidth requirements to the limit. Despite the improvements in network technology, data centers cannot guarantee acceptable transfer rates and response times, which often is a critical requirement for many applications. Furthermore, devices at the edge constantly consume data coming from the cloud, forcing companies to decentralize data storage and service provisioning, leveraging physical proximity to the end user. In a similar way, the aim of edge computing is to move the computation away from data centers towards the edge of the network, exploiting smart objects, mobile phones, or network gateways to perform tasks and provide services on behalf of the cloud. By moving services to the edge, it is possible to provide content caching, service delivery, persistent data storage, and IoT management resulting in better response times and transfer rates.
Computer security
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work standards. This reliance has expanded with the proliferation of smart devices, including smartphones, televisions, and other components of the Internet of things (IoT). As digital infrastructure becomes more embedded in everyday life, cybersecurity has emerged as a critical concern. The complexity of modern information systems—and the societal functions they underpin—has introduced new vulnerabilities. Systems that manage essential services, such as power grids, electoral processes, and finance, are particularly sensitive to security breaches. Although many aspects of computer security involve digital security, such as electronic passwords and encryption, physical security measures, such as metal locks, are still used to prevent unauthorized tampering.
art devices, including smartphones, televisions, and other components of the Internet of things (IoT). As digital infrastructure becomes more embedded in everyday life, cybersecurity has emerged as a critical concern. The complexity of modern information systems—and the societal functions they underpin—has introduced new vulnerabilities. Systems that manage essential services, such as power grids, electoral processes, and finance, are particularly sensitive to security breaches. Although many aspects of computer security involve digital security, such as electronic passwords and encryption, physical security measures, such as metal locks, are still used to prevent unauthorized tampering.
Attacker motivation As with physical security, the motivations for breaches of computer security vary between attackers. Some are thrill-seekers or vandals, some are activists, others are criminals looking for financial gain. State-sponsored attackers are now common and well resourced but started with amateurs such as Markus Hess who hacked for the KGB, as recounted by Clifford Stoll in The Cuckoo's Egg. Attackers motivations can vary for all types of attacks from pleasure to political goals. For example, hacktivists may target a company or organization that carries out activities they do not agree with. This would be to create bad publicity for the company by having its website crash. High capability hackers, often with larger backing or state sponsorship, may attack based on the demands of their financial backers. These attacks are more likely to attempt more serious attack. An example of a more serious attack was the 2015 Ukraine power grid hack, which reportedly utilised the spear-phishing, destruction of files, and denial-of-service attacks to carry out the full attack. Additionally, recent attacker motivations can be traced back to extremist organizations seeking to gain political advantage or disrupt social agendas. The growth of the internet, mobile technologies, and inexpensive computing devices have led to a rise in capabilities but also to the risk to environments that are deemed as vital to operations. All critical targeted environments are susceptible to compromise and this has led to a series of proactive studies on how to migrate the risk by taking into consideration motivations by these types of actors. Several stark differences exist between the hacker motivation and that of nation state actors seeking to attack based on an ideological preference. A key aspect of threat modeling for any system is identifying the motivations behind potential attacks and the individuals or groups likely to carry them out. The level and detail of security measures will differ based on the specific system being protected.
P
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published in 2016 as a global standard under ISO/IEC 30134-2:2016 An ideal PUE is 1.0. Anything that isn't considered a computing device in a data center (e.g.
For more energy efficiency metrics on data centers, see Data center. Power usage effectiveness (PUE) or power unit efficiency is a ratio that describes how efficiently a computer data center uses energy; specifically, how much energy is used by the computing equipment (in contrast to cooling and other overhead that supports the equipment). PUE is the ratio of the total amount of energy used by a computer data center facility to the energy delivered to computing equipment. PUE is the inverse of data center infrastructure efficiency. PUE was originally developed by a consortium called The Green Grid. PUE was published in 2016 as a global standard under ISO/IEC 30134-2:2016 An ideal PUE is 1.0. Anything that isn't considered a computing device in a data center (e.g.
lly, how much energy is used by the computing equipment (in contrast to cooling and other overhead that supports the equipment). PUE is the ratio of the total amount of energy used by a computer data center facility to the energy delivered to computing equipment. PUE is the inverse of data center infrastructure efficiency. PUE was originally developed by a consortium called The Green Grid. PUE was published in 2016 as a global standard under ISO/IEC 30134-2:2016 An ideal PUE is 1.0. Anything that isn't considered a computing device in a data center (e.g.
Boise, Idaho
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Boise (locally also ) is the capital and most populous city in the U.S. state of Idaho. It is the county seat of Ada County. The population of the city was 235,685 at the 2020 census. The Boise metropolitan area, located in the Treasure Valley, includes five counties of Idaho with an estimated population of 846,000, the most populous metropolitan area in Idaho and 95th-most populous in the United States. Located on the Boise River in southwestern Idaho, it is 41 miles (66 km) east of the Oregon border and 110 miles (177 km) north of the Nevada border. Downtown Boise's elevation is 2,704 feet (824 m) above sea level. Boise is home to major employers in the technology, manufacturing, and service sectors, including companies such as Micron Technology and Hewlett-Packard.
an area in Idaho and 95th-most populous in the United States. Located on the Boise River in southwestern Idaho, it is 41 miles (66 km) east of the Oregon border and 110 miles (177 km) north of the Nevada border. Downtown Boise's elevation is 2,704 feet (824 m) above sea level. Boise is home to major employers in the technology, manufacturing, and service sectors, including companies such as Micron Technology and Hewlett-Packard.
...that the military should continue killing Indians 'until the last Indian in the Territories was either on his reservation or enriched the sagebrush with his decaying carcass.' ...if the Indians refused to move there, 'they will be killed or put on the reservation by force, and certainly shot if they don't stay there.' Furthermore, the editor continues, 'The idea that the Indians have any right to the soil is ridiculous. ...They have no more rights to the soil of the Territories of the United States than wolves or coyotes...' This would be our plan of establishing friendship upon an eternal basis with our Indians: Let all the hostile bands of Idaho Territory be called in (they will not be caught in any other manner) to attend a grand treaty; plenty of blankets and nice little trinkets distributed among them; plenty of grub on hand; have a real jolly time with them; then just before the big feast put strychnine in their meat and poison to death the last mother's son of them. At the same time, native warriors around the valley, under the leadership of Howluck also known as "Bigfoot" among white settlers, among others, waged an escalating and intensified guerrilla campaign of harassment of passerby caravans along the Oregon Trail. The United States Army also escalated and intensified "punitive expeditions" against formations of warriors and against civilian communities as well. This marked the start of the "unofficial" Snake War in 1866. This war lasted until 1868, and is statistically the deadliest of the Indian Wars in the West in terms of casualties. In the end, 1,762 men were counted as the casualties of this war from both sides. In 1868, Fort Hall Indian Reservation was established in Southeastern Idaho, about 220 miles upstream, according to the terms of Fort Bridger Treaty. The Boise Valley Shoshone and Bannock Tribes were not party to this treaty. Nevertheless, in April 1869, the United States Military embarked on a campaign of "Removal, rounding up of natives in the region including in and around Boise, and expelling them with cavalry escort to Fort Hall Indian Reservation. This period is known among the Shoshone and Bannock people as Idaho's Trail of Tears. Some of the natives managed to escape, and they ran to either Duck Valley or Fort McDermitt in Nevada. Incorporation and growth Boise's early growth was significantly driven by its role in supplying the nearby gold towns that sprung up in the 1860s northeast and then southwest of the town. Miners sometimes wintered in Boise and a number of early prominent businessmen were miners who settled in town in the years after the gold rush waned. By 1864 substantial agricultural production was underway on easily irrigated lands near the river and three canal companies had been incorporated. Early transportation improvements were largely a result of toll road franchises awarded by the territorial legislature starting in the 1860s. These first ran from Fort Boise to the mining centers in the Boise Basin and east to Rocky Bar and to Rattlesnake Station where they connected to the Oregon Trail. Territorial census records from a special 1864 enumeration list the population of Boise as 1,658, and an act of December 12, 1864, was the first attempt by the Idaho Territorial Legislature to incorporate the city. This was rejected by voters the following March. Two more unsuccessful attempts were made to organize a city administration by election before the 1866 version of the city charter was approved by voters on January 6, 1868. The growing number of homes and businesses, for which owners wanted proper legal title, may have contributed to the eventual success of incorporation. All of these rejected efforts to incorporate the city came after Boise had been controversially made the state capital in 1864 over strong opposition from northern Idaho interests. This decision reflected the rapid shift of population growth from north to south after the discovery of gold in southern Idaho. By 1868 Boise had over 400 permanent buildings with a wide range of commercial services. 1868 also marked the formal beginning of a long advocacy for railroad connections to other Idaho communities and, just as importantly, to other growing cities in the west such as Portland, Oregon. Competing railroad and western state government interests frustrated these efforts for many years. Designed by Alfred B. Mullett, the U.S. Assay Office at 210 Main Street was built in 1871 and today is a National Historic Landmark. It first began accepting gold and silver for purchase on March 2, 1872, largely eliminating the need to transport ore to the mint in San Francisco. A territorial penitentiary, now known as the Old Idaho State Penitentiary, opened the same month several miles east of town. Mining continued to be important to Boise's economic growth and periodic booms contributed to population growth as well, though production of gold and silver probably peaked in the 1860s. 1882's gold and silver production of $3,500,000 declined to $1,488,315 (including lead) by 1899. Boise began to earn its City of Trees nickname in this period with a popular focus on a range of tree planting projects. Thomas J. Davis planted several thousand fruit trees in 1864 and several other early businessmen either founded nurseries or orchards of their own. In the 1870s tree planting began in earnest in downtown Boise led by prominent hotels as well as businessmen and residents. In 1907 Davis donated 43 acres of his orchard property to the city for use as a park in the name of his wife Julia. Commercial agriculture continued to expand, but was slowed by the lack of reliable rail links to regional and national markets and by a lack of large scale irrigation projects, which themselves were often tied to hoped-for railroad projects for financing. A.D. Foote, a successful mining engineer, drew up plans to irrigate up to 500,000 acres immediately south of Boise in 1882, but progress was halting and smaller farms were the norm until after the turn of the century with most located near to the river bottom where soil was productive and irrigation more easily achieved. Fruit orchards proliferated and sugar beets, still an important agricultural industry in Idaho, began to be widely cultivated in the 1890s. Cattle and sheep farming became increasingly important as the century closed. With the exception of dairy, most livestock products were exported from Idaho, unlike other agricultural products which were still largely scaled to support local markets. The timber industry also increasingly thrived in the Boise market in the 1880s and 1890s. Large quantities of timber were exported from elsewhere in Idaho, but a growing Boise supported the expansion of Alexander Rossi's sawmill, first established in 1865. Prominent early Boisean William Ridenbaugh had inherited control of the canal now bearing his name from his uncle William Morris in 1878 and later partnered with Rossi to expand the sawmill capacity under the name Rossi and Ridenbaugh Lumber Company. Their materials supported bridge building and the rapid expansion of Boise in the 1890s. As with many early infrastructure ventures, electrification succeeded only after at least one false start. July 4, 1887, marked the start of electrical transmission from a plant located on the Bench. William Ridenbaugh provided expertise and manpower for the water supply and several months were spent rigging poles and lines from the Bench to the service area across the river. Additional electrical supplies allowed the building of an electric streetcar line in 1891. This ran without interruption until buses replaced the lines in 1927, tracking—and sometimes driving—the development of Boise and nearby communities. This system expanded over several decades, reaching into the North End, South Boise and across the river on Front St. A loop line, completed in 1912, ran as far as Caldwell and Nampa, providing transport throughout the valley. Three early trolley companies merged in 1912 to form the Idaho Traction Company with a depot at 7th and Bannock Streets downtown. Additional services and urban amenities arrived in the 1890s as Boise grew. Exploratory drilling for hot water was successful in 1890 and by the end of the decade many homes along Warm Springs avenue were being heated by this source. A natatorium was built in 1892 close to the source of the hot water near the Idaho State Penitentiary. Churches serving several denominations, a Jewish synagogue, a major hardware store and department store, a Masonic hall, the Columbia Theater, Saint Alphonsus' Hospital, a number of parochial and secular schools, a City Hall and a new Union Pacific passenger station, constructed when service was finally extended to downtown, were all built during the 1890s. Falk's Department Store sponsored a semi-professional baseball team representing Boise from at least 1892 and the city supported other organized sports as they became popular.
Backbone network
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rt of a computer network which interconnects networks, providing a path for the exchange of information between different LANs or subnetworks. A backbone can tie together diverse networks in the same building, in different buildings in a campus environment, or over wide areas. Normally, the backbone's capacity is greater than the networks connected to it. A large corporation that has many locations may have a backbone network that ties all of the locations together, for example, if a server cluster needs to be accessed by different departments of a company that are located at different geographical locations. The pieces of the network connections (for example: Ethernet, wireless) that bring these departments together is often mentioned as network backbone.
Distributed backbone A distributed backbone is a backbone network that consists of a number of connectivity devices connected to a series of central connectivity devices, such as hubs, switches, or routers, in a hierarchy. This kind of topology allows for simple expansion and limited capital outlay for growth, because more layers of devices can be added to existing layers. In a distributed backbone network, all of the devices that access the backbone share the transmission media, as every device connected to this network is sent all transmissions placed on that network. Distributed backbones, in all practicality, are in use by all large-scale networks. Applications in enterprise-wide scenarios confined to a single building are also practical, as certain connectivity devices can be assigned to certain floors or departments. Each floor or department possesses a LAN and a wiring closet with that workgroup's main hub or router connected to a bus-style network using backbone cabling. Another advantage of using a distributed backbone is the ability for network administrator to segregate workgroups for ease of management. There is the possibility of single points of failure, referring to connectivity devices high in the series hierarchy.
History The theory, design principles, and first instantiation of the backbone network came from the telephone core network when traffic was purely voice. The core network was the central part of a telecommunications network that provided various services to customers who were connected by the access network. One of the main functions was to route telephone calls across the PSTN. Typically the term referred to the high capacity communication facilities that connect primary nodes. A core network provided paths for the exchange of information between different sub-networks. In the United States, local exchange core networks were linked by several competing interexchange networks; in the rest of the world, the core network has been extended to national boundaries. Core networks usually had a mesh topology that provided any-to-any connections among devices on the network. Many main service providers would have their own core/backbone networks that are interconnected. Some large enterprises have their own core/backbone network, which are typically connected to the public networks. Backbone networks create links that allow long-distance transmission, usually 10 to 100 miles, and in certain cases - up to 150 miles.
M
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customerdemandinfrastructurelong-termmanagedmodelprovidersystemstechnicaltechnologytraditional
l "break/fix" or '"on demand" approach, where services are rendered and billed only after a technical failure occurs. A managed service provider (MSP) is a third-party company that remotely manages a customer's IT infrastructure and end-user systems, typically on a proactive basis and under a subscription model.
long-term responsibility for the functionality and health of their IT environment. Definitions A managed IT services provider is a third-party service provider that proactively monitors & manages a customer's server/network/system infrastructure, cybersecurity and end-user systems against a clearly defined Service Level Agreement (SLA). Small and medium-sized businesses (SMBs), nonprofits and government agencies hire MSPs to perform a defined set of day-to-day management services so they can focus on their core businesses with reduced risk of extended system downtime or service interruptions. These services may include network and infrastructure management, security and monitoring. Most MSPs bill an upfront setup or transition fee and an ongoing flat or near-fixed monthly fee, which benefits clients by providing them with predictable IT support costs. Sometimes MSPs act as facilitators who manage and procure staffing services on behalf of the client. In such context, they may use a vendor management system (VMS) for transparency and efficiency.
Cyberattacks Attackers have compromised MSPs and software used by MSPs as a form of supply chain attack. In October 2018, the U.S. National Cybersecurity and Communications Integration Center (NCCIC) warned the public that it knew of attackers, including advanced persistent threats, attempting to infiltrate the networks of MSPs as a way to conduct cyber espionage and intellectual property theft. NCCIC said that this type of attack, which dated to at least 2016, targeted MSPs because compromising them could allow attackers to access customer networks. By 2019, attackers began targeting MSPs to spread ransomware because hacking into a MSP could allow them to install ransomware in many MSP client systems. Attackers found and exploited vulnerabilities in software used by MSPs, such as remote monitoring and management products. In the July 2021 Kaseya VSA ransomware attack, the REvil criminal organization exploited a vulnerability in Kaseya software to attack its MSP customers with ransomware and up 1,500 companies that were clients of the MSPs.
Fiber-optic communication
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anotherelectricalfiberinternetlocalnetworksplacesecondsignalsvisible
Fiber-optic communication is a form of optical communication for transmitting information from one place to another by sending pulses of infrared or visible light through an optical fiber. The light is a form of carrier wave that is modulated to carry information. Fiber is preferred over electrical cabling when high bandwidth, long distance, or immunity to electromagnetic interference is required. This type of communication can transmit voice, video, and telemetry through local area networks or across long distances. Optical fiber is used by many telecommunications companies to transmit telephone signals, internet communication, and cable television signals.
In order to package fiber into a commercially viable product, it typically is protectively coated by using ultraviolet-cured acrylate polymers and assembled into a cable. After that, it can be laid in the ground and then run through the walls of a building and deployed aerially in a manner similar to copper cables. These fibers require less maintenance than common twisted pair wires once they are deployed. Specialized cables are used for long-distance subsea data transmission, e.g., transatlantic communications cable. New (2011–2013) cables operated by commercial enterprises (Emerald Atlantis, Hibernia Atlantic) typically have four strands of fiber and signals cross the Atlantic (NYC-London) in 60–70 ms. The cost of each such cable was about $300M in 2011. Another common practice is to bundle many fiber optic strands within long-distance power transmission cable using, for instance, an optical ground wire.
Dispersion For modern glass optical fiber, the maximum transmission distance is limited not by direct material absorption but by dispersion, the spreading of optical pulses as they travel along the fiber. Dispersion limits the bandwidth of the fiber because the spreading optical pulse limits the rate at which pulses can follow one another on the fiber and still be distinguishable at the receiver. Dispersion in optical fibers is caused by a variety of factors. Intermodal dispersion, caused by the different axial speeds of different transverse modes, limits the performance of multi-mode fiber. Because single-mode fiber supports only one transverse mode, intermodal dispersion is eliminated. In single-mode fiber, performance is primarily limited by chromatic dispersion, which occurs because the index of the glass varies slightly depending on the wavelength of the light, and, due to modulation, light from optical transmitters necessarily occupies a (narrow) range of wavelengths. Polarization mode dispersion, another source of limitation, occurs because although the single-mode fiber can sustain only one transverse mode, it can carry this mode with two different polarizations, and slight imperfections or distortions in a fiber can alter the propagation velocities for the two polarizations. This phenomenon is called birefringence and can be counteracted by polarization-maintaining optical fiber. Some dispersion, notably chromatic dispersion, can be removed by a dispersion compensator.
Ada County, Idaho
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adabehindboisecapitalidaholargestlocalprivateroadssecond
Ada County is located in the southwestern part of Idaho, United States. As of the 2020 census, the county had a population of 494,967, which by 2025 was estimated to have risen to 546,141. Ada County is by far the state's most populous county; it is home to 26.8% of the state's population. The county seat and largest city is Boise, which is also the state capital. Ada County is included in the Boise metropolitan area. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads.
populous county; it is home to 26.8% of the state's population. The county seat and largest city is Boise, which is also the state capital. Ada County is included in the Boise metropolitan area. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads.
ea. The Ada County Highway District has jurisdiction over all the local county and city streets, except for private roads and state roads. In the interior Pacific Northwest east of the Cascade Range, Ada County ranks second in population, behind Spokane County, Washington. History Ada County was created by the Idaho Territory legislature on December 22, 1864, partitioned from Boise County. It is named for Ada Riggs, the daughter of H. C. Riggs, a member of the legislature; he established the county and was a co-founder of Boise.
Nampa, Idaho
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QID OVERLAP: Q622633 in data_center (tier:branch) and technology (tier:branch). | SHARED TOKENS (7): "boise", "footprint", "idaho", "nampa", "second", "west", "western".
boisefootprintidahonampasecondwestwestern
pa ( ) is the most populous city in Canyon County, Idaho, United States. The population was 100,200 at the 2020 census. It is Idaho's third-most populous city. Nampa is about 20 miles (32 km) west of Boise along Interstate 84, and 6 miles (9.7 km) west of Meridian. It is the second principal city of the Boise metropolitan area. The name "Nampa" may have come from a Shoshoni word meaning 'moccasin' or 'footprint'. According to toponymist William O. Bright, the name comes from the Shoshoni word /nampai/, meaning "foot".
History Nampa had its beginnings in the early 1880s when the Oregon Short Line Railroad built a line from Granger, Wyoming, to Huntington, Oregon, that passed through Nampa. In Nampa there is a history museum that marks the railroad's significance. More railroad lines sprang up through Nampa, making it an important railroad town. Alexander and Hannah Duffes established one of the town's first homesteads, eventually forming the Nampa Land and Improvement Company with the help of their friend and co-founder, James McGee. Despite the name, many early settlers called the town "New Jerusalem" because of its citizens' strong religious focus. After only a year the town grew from 15 homes to 50. As amenities were added, Nampa continued to grow, and it was incorporated in 1891. Downtown Nampa's street grid is oriented with the railroad tracks, which run northwest–southeast; this was done intentionally by Alexander Duffes to prevent accidents like one that occurred earlier in a town he had platted near Toronto, where a woman and her two children were killed by a train when their buggy wheel got stuck as they crossed the tracks. As the Oregon Short Line railroad originally bypassed Boise, Nampa has the fanciest of many railroad depots built in the area. Nampa gained attention in 1889 due to a purported archaeological discovery known as the Nampa figurine. George Frederick Wright wrote up details that year for the Boston Society of Natural History. The first elementary school was built in the 1890s. Lakeview School was on a hill on 6th Street and 12th Avenue North, with a view of Lake Ethel. Just after the school's centennial celebration, it was condemned as a school and sold to the First Mennonite Church. In 2008 the building was refurbished, and it is now used by the Idaho Arts Charter School. Lake Ethel, an irrigation reservoir, had long been the site of community picnics, and many citizens fished, swam, boated, and even hunted on it and its surrounding property. But the hunting didn't last long, as O. F. Persons, owner of the adjoining homestead, took offense when local hunters started shooting his pet ducks. The city later auctioned off the lake. E. H. Dewey (a former Nampa mayor) was the only bidder. But occasional flooding led to a series of lawsuits from neighbors. Dewey eventually drained Lake Ethel. Not long after, the city council became interested in buying back the Fritz Miller property as well as the Dewey home. Pressure had been building for more than four years. Nampa citizens wanted another park. On August 7, 1924, the city council passed an ordinance to purchase the Miller property and name it Lakeview Park. A bandstand was completed in 1928, and the municipal swimming pool opened on August 13, 1934. It is Nampa's largest park and many community celebrations are held there. Colonel William H. Dewey, a man who made a fortune mining in Silver City, built the Dewey Palace Hotel in 1902 for $250,000. He died in his hotel in 1903, leaving his son $1 million. The hotel survived the great fire of 1909, which burned several blocks of downtown Nampa, but was razed in 1963 after redevelopment plans failed. Relics from the hotel such as the chandelier and the hotel safe can be found at the Canyon County Historical Museum, which is in the old train depot on Front Street and Nampa City Hall. After demolition the location on First Street between 11th and 12th Ave. South was sold to private enterprise, including a bank and tire store, replacing this building with modern structures. A public-use postage stamp sized park was later placed across the street from the old palace property as a collaboration between the Downtown Alliance of Nampa (the local business council) and an Eagle Scout Project for the Boy Scouts of America. The park includes a large mural/wall sculpture of running horses commissioned for the project. A Carnegie library was built downtown in 1908; it burned down after the library moved in 1966. Nampa Public Library was then on the corner of 1st Street and 11th Avenue South in the old bank building. A new library, on 12th Avenue South, opened in 2015. Deer Flat Reservoir, an offstream irrigation storage reservoir, was constructed by the United States Bureau of Reclamation between 1906 and 1911. Known locally as Lake Lowell, it is surrounded by the Deer Flat National Wildlife Refuge, established in 1909 by President Theodore Roosevelt. The refuge is administered by the U.S. Fish and Wildlife Service. Lake Lowell is filled by the concrete New York Canal; the water is diverted from the Boise River a few miles below Lucky Peak Dam. In 1910, the Idaho State School and Hospital was built northwest of Nampa for the state's developmentally challenged population. It opened in 1918. The institution was largely self-sufficient, with a large farm staffed by the residents. The higher-functioning residents also cared for residents who could not care for themselves. The land for the farm was sold and is now golf courses (Centennial and Ridgecrest), and the residents no longer give primary care to other residents. The institution is modernized and remains in operation, though a few of the oldest buildings now house juvenile offenders. Nampa held an annual harvest festival and farmers' market from about 1908, a time of celebration and community fun. From this festival emerged the Snake River Stampede Rodeo in 1937, which continues to this day. It is one of the top 12 rodeos in the pro rodeo circuits. In 1913, a local congregation of the Church of the Nazarene built a small elementary school, which became to Northwest Nazarene College in 1915 and finally Northwest Nazarene University. As of 2025, the university has approximately 1,800 undergraduate and graduate students. Karcher Mall opened in 1965, the first enclosed shopping mall in the Treasure Valley. It was "the place to gather" for several decades until the Boise Towne Square mall was built in Boise in 1988, drawing business away. Karcher Mall was renamed District 208 in 2022. The Idaho Press-Tribune is the local newspaper for the Canyon County area.
along Interstate 84, and 6 miles (9.7 km) west of Meridian. It is the second principal city of the Boise metropolitan area. The name "Nampa" may have come from a Shoshoni word meaning 'moccasin' or 'footprint'. According to toponymist William O. Bright, the name comes from the Shoshoni word /nampai/, meaning "foot".
Cloud computing
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Cloud computing is defined by the International Organization for Standardization (ISO) as "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on demand". It is commonly referred to as "the cloud". Characteristics In 2011, the National Institute of Standards and Technology (NIST) identified five "essential characteristics" for cloud systems.
On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts).
The history of cloud computing extends to the 1960s, with the initial concepts of time-sharing becoming popularized via remote job entry (RJE). The "data center" model, where users submitted jobs to operators to run on mainframes, was predominantly used during this era. This period saw broad experimentation with making large-scale computing power more accessible through time-sharing, while optimizing infrastructure, platforms, and applications to improve efficiency for end users. The "cloud" metaphor for virtualized services dates to 1994, when it was used by General Magic for the universe of "places" that mobile agents in the Telescript environment could "go". The metaphor is credited to David Hoffman, a General Magic communications specialist, based on its long-standing use in networking and telecom. The expression cloud computing became more widely known in 1996 when Compaq Computer Corporation drew up a business plan for future computing and the Internet. The company's ambition was to supercharge sales with "cloud computing-enabled applications". The business plan foresaw that online consumer file storage would likely be commercially successful. As a result, Compaq decided to sell server hardware to internet service providers. In the 2000s, the application of cloud computing began to take shape with the establishment of Amazon Web Services (AWS) in 2002, which allowed developers to build applications independently. In 2006 Amazon Simple Storage Service, known as Amazon S3, and the Amazon Elastic Compute Cloud (EC2) were released. In 2008 NASA's development of the first open-source software for deploying private and hybrid clouds. The following decade saw the launch of various cloud services. In 2010, Microsoft launched Microsoft Azure, and Rackspace Hosting and NASA initiated an open-source cloud-software project, OpenStack. IBM introduced the IBM SmartCloud framework in 2011, and Oracle announced the Oracle Cloud in 2012.
Kuna, Idaho
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adaboiseidahokunanearly
Kuna ( KYOO-nə) is a city in Ada County, Idaho. It is part of the Boise metropolitan area. The population was 24,011 at the time of the 2020 census. Kuna is one of the fastest-growing areas in Idaho, having nearly tripled in population between 2000 and 2010 and a nearly additional 60 percent gain between 2010 and 2020.
History Kuna originated as a railroad stop with coach transport to Boise. It is popularly believed, as cited by the Kuna Chamber of Commerce, that the translation of the name "Kuna" means "the end of the trail", but Charles S. Walgamott cites the origin of the name as a Shoshone Indian word meaning "green leaf, good to smoke." The Western Heritage Historic Byway, designated as a national as well as a state scenic byway, travels around a number of historic sites in the area. Geography Kuna's business center is approximately 18 miles (29 km) southwest of downtown Boise, the state capital. According to the United States Census Bureau, the city has a total area of 18.18 square miles (47.09 km2), of which 18.08 square miles (46.83 km2) is land and 0.10 square miles (0.26 km2) is water. South of Kuna is the Kuna Caves, a lava tube. A small seasonal creek, Indian Creek, runs through the city. It is now used as an irrigation canal, filled by the New York Canal from the Boise River Diversion Dam.
Geography Kuna's business center is approximately 18 miles (29 km) southwest of downtown Boise, the state capital. According to the United States Census Bureau, the city has a total area of 18.18 square miles (47.09 km2), of which 18.08 square miles (46.83 km2) is land and 0.10 square miles (0.26 km2) is water. South of Kuna is the Kuna Caves, a lava tube. A small seasonal creek, Indian Creek, runs through the city. It is now used as an irrigation canal, filled by the New York Canal from the Boise River Diversion Dam. One of the few small floatable waterways in the region, Indian Creek is a favorite swimming spot for local residents. Demographics 2020 census As of the 2020 census, Kuna had a population of 24,011. The median age was 30.9 years. 31.8% of residents were under the age of 18 and 8.1% of residents were 65 years of age or older. For every 100 females there were 97.8 males, and for every 100 females age 18 and over there were 96.2 males age 18 and over. 97.1% of residents lived in urban areas, while 2.9% lived in rural areas. There were 7,736 households in Kuna, of which 48.2% had children under the age of 18 living in them. Of all households, 62.3% were married-couple households, 11.6% were households with a male householder and no spouse or partner present, and 17.4% were households with a female householder and no spouse or partner present. About 13.9% of all households were made up of individuals and 4.6% had someone living alone who was 65 years of age or older. There were 7,948 housing units, of which 2.7% were vacant. The homeowner vacancy rate was 0.8% and the rental vacancy rate was 5.9%. As of the 2020 census, the median income for a household in the city was $68,017. Families had a median income of $75,296 versus $91,364 for married-couple families and $33,512 for nonfamily households.
Meridian, Idaho
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adaboisecapitalidahosecond
Meridian is a city located in Ada County, Idaho, United States. The population was 117,635 at the 2020 census, making it the second most populous city in the county and Idaho, after Boise, the state capital.
Rail transportation (1908–28) Following the raising of $4,000 to lay the Interurban rail line from Onweiler (Meridian and Ustick Roads), the tracks were completed into the village center. Turning east on Broadway and ending at East Second, the last car would spend the night in Meridian before returning to Boise early the next morning with passengers and freight. The interurban Station and Generator building (west one-third of the old library at Meridian and Idaho Streets) was built in 1912, and the line continued on to Nampa via Meridian. The tracks down Broadway were not used after 1912. The Interurban Company entered into receivership and closed in 1928 after 20 years of providing continuous transportation to neighboring towns. It was Meridian's main connection to the area outside the local community. The Union Pacific Railroad spur opened in 1900 and is currently operated by the Boise Valley Railroad. Many industrial customers continue to ship forest, agricultural, and chemical products along this corridor. Creamery (1929–70) The city's official website describes the history of the Ada County Dairymen's cooperative creamery as follows:The lowest days of the Great Depression brightened for area dairymen when the Ada County Dairymen's cooperative creamery began operation in 1929. It provided milk checks to those who were members of the cooperative, enabling them to pay their taxes and provide food for their families. Other community members hauled milk to the creamery and were employed by the creamery, whose product was Challenge Butter. The creamery ran seven days a week for 40 years. Additions and improvements were made while the plant was in full operation. Later years saw the Wyeth Laboratories affiliate with the creamery to manufacture SMA baby formula.
Creamery (1929–70) The city's official website describes the history of the Ada County Dairymen's cooperative creamery as follows:The lowest days of the Great Depression brightened for area dairymen when the Ada County Dairymen's cooperative creamery began operation in 1929. It provided milk checks to those who were members of the cooperative, enabling them to pay their taxes and provide food for their families. Other community members hauled milk to the creamery and were employed by the creamery, whose product was Challenge Butter. The creamery ran seven days a week for 40 years. Additions and improvements were made while the plant was in full operation. Later years saw the Wyeth Laboratories affiliate with the creamery to manufacture SMA baby formula.
Canyon County, Idaho
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QID OVERLAP: Q486078 in data_center (tier:branch) and technology (tier:evergreen). | SHARED TOKENS (4): "boise", "idaho", "largest", "nampa".
boiseidaholargestnampa
105, which by 2025 was estimated to have risen to 275,123, making it the second-most populous county in Idaho. The county seat is Caldwell, and its largest city is Nampa. Canyon County is part of the Boise metropolitan area. History Hudson's Bay Company established Fort Boise in 1834 near what is now Parma, but abandoned it in 1855. Emigrants traveled through Canyon County on the Oregon Trail. Discovery of gold in the Boise Basin in 1862 brought settlement to the region again. The lower Boise River was fully contained within Boise County from 1863 until the formation of Ada County in 1864. Settlement of the lower Boise River west of Boise City was limited prior to the completion of the Oregon Short Line Railroad. Middleton was the first European settlement of Canyon County, starting in 1863. The 1870 Census for Ada County listed 76 residents of the Boise Valley, excluding Boise City and the 1880 Census listed 44 residents at Middleton. The arrival of the railroad at Caldwell led to the establishment of a town there as of August 1883. Businessmen James A. McGee and Alexander Duffes filed the plat for nearby Nampa in 1886. Parma was settled around the same time, with the Old Fort Boise post office being moved to the town's location; it was incorporated in 1904. Ada County established precincts for each of the settlements with a combined 1890 Census population of 2,311. Significant settlement of Greenleaf and Notus started around 1904 with the two settlements listed as precincts at the 1910 census. Notus was incorporated in 1921 while Greenleaf was incorporated prior to 1980. Melba was incorporated in 1912 while Wilder was incorporated in 1919. The City of Star annexed a portion of territory in northeast Canyon County prior to 2007, becoming the county's ninth incorporated city. The majority of Star is located within Ada County. The Idaho Legislature created Canyon County from Ada County in an act approved March 7, 1891, effective at the November 26, 1892, election. Caldwell was established as the county seat. The county originally contained all of Canyon and Payette counties and part of Gem; Gem County formed in 1915 and Payette County in 1917.
History Hudson's Bay Company established Fort Boise in 1834 near what is now Parma, but abandoned it in 1855. Emigrants traveled through Canyon County on the Oregon Trail. Discovery of gold in the Boise Basin in 1862 brought settlement to the region again. The lower Boise River was fully contained within Boise County from 1863 until the formation of Ada County in 1864. Settlement of the lower Boise River west of Boise City was limited prior to the completion of the Oregon Short Line Railroad. Middleton was the first European settlement of Canyon County, starting in 1863. The 1870 Census for Ada County listed 76 residents of the Boise Valley, excluding Boise City and the 1880 Census listed 44 residents at Middleton. The arrival of the railroad at Caldwell led to the establishment of a town there as of August 1883. Businessmen James A. McGee and Alexander Duffes filed the plat for nearby Nampa in 1886. Parma was settled around the same time, with the Old Fort Boise post office being moved to the town's location; it was incorporated in 1904. Ada County established precincts for each of the settlements with a combined 1890 Census population of 2,311. Significant settlement of Greenleaf and Notus started around 1904 with the two settlements listed as precincts at the 1910 census. Notus was incorporated in 1921 while Greenleaf was incorporated prior to 1980. Melba was incorporated in 1912 while Wilder was incorporated in 1919. The City of Star annexed a portion of territory in northeast Canyon County prior to 2007, becoming the county's ninth incorporated city. The majority of Star is located within Ada County. The Idaho Legislature created Canyon County from Ada County in an act approved March 7, 1891, effective at the November 26, 1892, election. Caldwell was established as the county seat. The county originally contained all of Canyon and Payette counties and part of Gem; Gem County formed in 1915 and Payette County in 1917.
2000 census As of the 2000 census, there were 131,441 people, 45,018 households and 33,943 families living in the county. The population density was 223 people per square mile (86 people/km2). There were 47,965 housing units at an average density of 81 units per square mile (31 units/km2). The racial makeup of the county was 83.10% White, 0.32% Black or African American, 0.85% Native American, 0.80% Asian, 0.13% Pacific Islander, 12.17% from other races, and 2.62% from two or more races. Hispanic or Latino of any race were 18.61% of the population. 15.9% were of German, 12.7% English, 10.3% American and 7.6% Irish ancestry. There were 45,018 households, of which 39.80% had children under the age of 18 living with them, 60.70% were married couples living together, 10.10% had a female householder with no husband present, and 24.60% were non-families. 19.80% of all households were made up of individuals, and 8.40% had someone living alone who was 65 years of age or older. The average household size was 2.85 and the average family size was 3.28. 30.90% of the population were under the age of 18, 10.70% from 18 to 24, 28.30% from 25 to 44, 19.10% from 45 to 64, and 11.00% who were 65 years of age or older. The median age was 30 years. For every 100 females, there were 98.70 males. For every 100 females age 18 and over, there were 96.30 males. The median household income was $35,884 and the median family income was $40,377. Males had a median income of $29,418 compared with $22,044 for females. The per capita income for the county was $15,155. About 8.70% of families and 12.00% of the population were below the poverty line, including 14.50% of those under age 18 and 10.70% of those age 65 or over. Communities Cities Unincorporated communities Bowmont Huston Roswell Sunnyslope Walters Ferry, Idaho Politics Like the majority of Idaho, Canyon County is reliably Republican by comfortable margins. The last time a Democratic candidate carried the county was in 1936 by Franklin D. Roosevelt.
High-performance computing
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advancedcomputingproblems
High-performance computing (HPC) is the use of supercomputers and computer clusters to solve advanced problems. Overview HPC integrates systems administration (including network and security knowledge), parallel computing and distributed computing into a multidisciplinary field that combines digital electronics, computer architecture, system software, programming languages, algorithms and computational techniques. HPC technologies are the tools and systems used to implement and create high performance computing systems. Since around 2005, HPC systems have shifted from supercomputing to computing clusters and grids. Because of the need of networking in clusters and grids, High Performance Computing Technologies are achieved by the use of a collapsed network backbone, because the collapsed backbone architecture is simple to troubleshoot and upgrades can be applied to a single router as opposed to multiple ones. HPC integrates with data analytics in AI engineering workflows to generate new data streams that increase a simulation's ability to answer the "what if" questions. The term is most commonly associated with computing used for scientific research or computational science. A related term, high-performance technical computing (HPTC), generally refers to the engineering applications of cluster-based computing (such as computational fluid dynamics and the building and testing of virtual prototypes). HPC has also been applied to business uses such as data warehouses, line of business (LOB) applications, and transaction processing. High-performance computing (HPC) as a term arose after the term "supercomputing". HPC is sometimes used as a synonym for supercomputing; but, in other contexts, "supercomputer" is used to refer to a more powerful subset of "high-performance computers", and the term "supercomputing" becomes a subset of "high-performance computing". The potential for confusion over the use of these terms is apparent. Because most current applications are not designed for HPC technologies but are retrofitted, they are not designed or tested for scaling to more powerful processors or machines. Since networking clusters and grids use multiple processors and computers, these scaling problems can cripple critical systems in future supercomputing systems. Therefore, either the existing tools do not address the needs of the high performance computing community or the HPC community is unaware of these tools.
TOP500 ranks the world's 500 fastest high-performance computers, as measured by the High Performance LINPACK (HPL) benchmark. Not all existing computers are ranked, either because they are ineligible (e.g., they cannot run the HPL benchmark) or because their owners have not submitted an HPL score (e.g., because they do not wish the size of their system to become public information, for defense reasons). In addition, the use of the single LINPACK benchmark is controversial, in that no single measure can test all aspects of a high-performance computer. To help overcome the limitations of the LINPACK test, the U.S. government commissioned one of its originators, Jack Dongarra of the University of Tennessee, to create a suite of benchmark tests that includes LINPACK and others, called the HPC Challenge benchmark suite. This evolving suite has been used in some HPC procurements, but, because it is not reducible to a single number, it has been unable to overcome the publicity advantage of the less useful TOP500 LINPACK test. The TOP500 list is updated twice a year, once in June at the ISC European Supercomputing Conference and again at a US Supercomputing Conference in November. Many ideas for the new wave of grid computing were originally borrowed from HPC. High performance computing in the cloud Traditionally, HPC has involved an on-premises infrastructure, investing in supercomputers or computer clusters. Over the last decade, cloud computing has grown in popularity for offering computer resources in the commercial sector regardless of their investment capabilities. Some characteristics like scalability and containerization also have raised interest in academia.
Traditionally, HPC has involved an on-premises infrastructure, investing in supercomputers or computer clusters. Over the last decade, cloud computing has grown in popularity for offering computer resources in the commercial sector regardless of their investment capabilities. Some characteristics like scalability and containerization also have raised interest in academia. However security in the cloud concerns such as data confidentiality are still considered when deciding between cloud or on-premise HPC resources. Current leading Supercomputers Below is a list of the main HPCs by computing power, as reported in the Top500 list: El Capitan: this HPE Cray EX255a system reaches 1.742 exaFLOPS with 1,051,392 CPU cores and 9,988,224 accelerator cores, totaling 11,039,616 cores. It uses Slingshot-11 interconnect technology and is housed at the Lawrence Livermore National Laboratory, USA. Frontier: boasting 1.353 exaFLOPS, this HPE Cray EX235a system features 614,656 CPU cores and 8,451,520 accelerator cores, making a total of 9,066,176 cores. It operates with Slingshot-11 interconnects at Oak Ridge National Laboratory, USA. Aurora: this Intel-powered system delivers 1.012 exaFLOPS, leveraging Xeon and Ponte Vecchio architectures. It is installed at Argonne National Laboratory, USA. Eagle: powered by Intel Xeon Platinum 8480C 48C 2GHz processors and NVIDIA H100 GPUs, Eagle reaches 561.20 petaFLOPS of computing power, with 2,073,600 cores. It features NVIDIA Infiniband NDR for high-speed connectivity and is hosted by Microsoft Azure, USA. HPC6: the most powerful industrial supercomputer in the world, HPC6 was developed by Eni and launched in November 2024. With 606 petaFLOPS of computing power, it is used for energy research and operates in Italy. It is located in the Eni Green Data Center in Ferrera Erbognone (PV). Fugaku: developed by Fujitsu, this system achieves 442.01 petaFLOPS using A64FX 48C 2.2GHz processors and Tofu interconnect D technology. It is located at RIKEN Center for Computational Science, Japan. Alps: this HPE Cray EX254n system reaches 434.90 petaFLOPS, powered by NVIDIA Grace 72C 3.1GHz processors and NVIDIA GH200 Superchips, connected through Slingshot-11 interconnects. It is located at CSCS, Switzerland. LUMI: one of Europe's fastest supercomputers, LUMI achieves 379.70 petaFLOPS with AMD Optimized 3rd Generation EPYC 64C 2GHz processors and AMD Instinct MI250X accelerators. It is hosted by CSC, Finland, as part of the EuroHPC initiative. Leonardo: developed under the EuroHPC initiative, this BullSequana XH2000 system reaches 241.20 petaFLOPS with Xeon Platinum 8358 32C 2.6GHz processors and NVIDIA A100 SXM4 64GB accelerators. It is installed at CINECA, Italy. Tuolumne: Tuolumne achieves 208.10 petaFLOPS and is powered by AMD 4th Gen EPYC 24C 1.8GHz processors and AMD Instinct MI300A accelerators. It operates at Lawrence Livermore National Laboratory, USA. MareNostrum 5 ACC: this BullSequana XH3000 system runs at 175.30 petaFLOPS, featuring Xeon Platinum 8460Y+ 32C 2.3GHz processors and NVIDIA H100 64GB accelerators.
◈ Cross-Vertical Edge Ledger
All Additional Edges — Deterministic Matching
118 EDGES
◈ ADDITIONAL CROSS EDGES · NON-OVERLAP118 edges
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Intuit ↗ Q1318848 EXACT TITLE
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Zoning ↗ Q702232 EXACT TITLE
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5G ↗ Q1363408 EXACT TITLE
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Substation ↗ Q174814 EXACT TITLE
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Exyte ↗ Q100531288 EXACT TITLE
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LEED ↗ Q1521623 EXACT TITLE
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Tech hub ↗ Q137582815 EXACT TITLE
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Ericsson ↗ Q52618 EXACT TITLE
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Cleanroom ↗ Q794827 EXACT TITLE
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Equifax ↗ Q5384453 EXACT TITLE
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Ransomware ↗ Q926331 EXACT TITLE
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Export control ↗ EXACT TITLE
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Permira ↗ Q662030 EXACT TITLE
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HP Inc. ↗ Q21404084 EXACT TITLE
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Disaster recovery ↗ EXACT TITLE
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0.300
Moore's law ↗ Q178655 KW CROSS HIGH
annualanotheraroundbecomecapacitychangescontinuedescribesdevelopmentdigitalefficiencyevenformergrowthindustrylawlong-termmemorynextnoted
SHARED TOKENS (27): "annual", "another", "around", "become", "capacity", "changes", "continue", "describes", "development", "digital", "efficiency", "even", "former", "growth", "industry", "law", "long-term", "memory", "next", "noted"....
0.300
airapproximatelyclimateflowindustrialirrigationmultiplesmallsourcesourcessouthsupplyusefulwastewaterwater
SHARED TOKENS (15): "air", "approximately", "climate", "flow", "industrial", "irrigation", "multiple", "small", "source", "sources", "south", "supply", "useful", "wastewater", "water".
0.300
distincteducationintendedjobslargestlongernearlypracticalprogramprogramsschooltraditionaltransitionworkworkforce
SHARED TOKENS (15): "distinct", "education", "intended", "jobs", "largest", "longer", "nearly", "practical", "program", "programs", "school", "traditional", "transition", "work", "workforce".
0.300
analysisanotherbroaderbusinessdataessentialgeographyhardwareindustryinsuranceintelligenceknowledgelogisticsmultipleoperationsphysicalplanningrealrelevantsoftware
SHARED TOKENS (24): "analysis", "another", "broader", "business", "data", "essential", "geography", "hardware", "industry", "insurance", "intelligence", "knowledge", "logistics", "multiple", "operations", "physical", "planning", "real", "relevant", "software"....
0.300
capacitycoolingdemandefficiencyexpectedgoalgrowthlawlong-termmeansplanningpowerprocesspublicselectionsupplyutilitiesutility
SHARED TOKENS (18): "capacity", "cooling", "demand", "efficiency", "expected", "goal", "growth", "law", "long-term", "means", "planning", "power", "process", "public", "selection", "supply", "utilities", "utility".
0.300
E-government ↗ Q211017 KW CROSS HIGH
accessbuildbusinessbusinesseschangescontinueddeliverydigitaleducationestablishedgovernmentgovernmentsinternalinternetmeansnationalparticipationprocesspublicregion
SHARED TOKENS (25): "access", "build", "business", "businesses", "changes", "continued", "delivery", "digital", "education", "established", "government", "governments", "internal", "internet", "means", "national", "participation", "process", "public", "region"....
0.300
advancedairappliedcentralcontrolcreateendenvironmentsfacilitieshandlinghelpshighlyindustrialindustryinsideinternallargemaintainmanufacturingmemory
SHARED TOKENS (28): "advanced", "air", "applied", "central", "control", "create", "end", "environments", "facilities", "handling", "helps", "highly", "industrial", "industry", "inside", "internal", "large", "maintain", "manufacturing", "memory"....
0.300
Network security ↗ KW CROSS HIGH
accessbusinessescontrolcontrolsdatagovernmentinstitutionsjobsnetworknetworksoperationsprivateprogramspublicsecuritysimple
SHARED TOKENS (16): "access", "businesses", "control", "controls", "data", "government", "institutions", "jobs", "network", "networks", "operations", "private", "programs", "public", "security", "simple".
0.300
capacitychipscomparedconversiondatademanddesignsdifferentdigitaldynamiceitherexpensivelargestmajormanufacturersmarketmemorymicronneedneeds
SHARED TOKENS (29): "capacity", "chips", "compared", "conversion", "data", "demand", "designs", "different", "digital", "dynamic", "either", "expensive", "largest", "major", "manufacturers", "market", "memory", "micron", "need", "needs"....
0.300
Flash memory ↗ Q174077 KW CROSS HIGH
accessadvantagearchitecturebecomecapabilitieschipscompareddatadesigndifferentdigitalindustrialinsideinternallargelayersmakesmemoryprogramrequire
SHARED TOKENS (28): "access", "advantage", "architecture", "become", "capabilities", "chips", "compared", "data", "design", "different", "digital", "industrial", "inside", "internal", "large", "layers", "makes", "memory", "program", "require"....
0.300
centerscolocationconnectionscustomersdatadatacentersdeliverydistinctefficiencyinfrastructureinternetlargemultiplenetworknetworksoperatephysicalpointpointsprivate
SHARED TOKENS (22): "centers", "colocation", "connections", "customers", "data", "datacenters", "delivery", "distinct", "efficiency", "infrastructure", "internet", "large", "multiple", "network", "networks", "operate", "physical", "point", "points", "private"....
0.300
analyticsavailabilitybecomingcarrierscenterscloudcriticaldatadeliverydifferentendhostingindustriesintelligenceinternetlargelayerliveloadmanaged
SHARED TOKENS (26): "analytics", "availability", "becoming", "carriers", "centers", "cloud", "critical", "data", "delivery", "different", "end", "hosting", "industries", "intelligence", "internet", "large", "layer", "live", "load", "managed"....
0.300
Peak demand ↗ Q3393666 KW CROSS HIGH
annualcapacitycommercialcoolingcustomercustomersdemandelectricalevenexpectedindustrialloadoperatingpeakpointpowersinglesupplytransitionutilities
SHARED TOKENS (21): "annual", "capacity", "commercial", "cooling", "customer", "customers", "demand", "electrical", "even", "expected", "industrial", "load", "operating", "peak", "point", "power", "single", "supply", "transition", "utilities"....
0.300
chipscomputingdevelopmentdiversityformerincentivesindustryinvestmentjobslawmanufacturingmarchproducepublicroughlysecuritysemiconductorsemiconductorssocialsupply
SHARED TOKENS (24): "chips", "computing", "development", "diversity", "former", "incentives", "industry", "investment", "jobs", "law", "manufacturing", "march", "produce", "public", "roughly", "security", "semiconductor", "semiconductors", "social", "supply"....
0.300
appliedcentralchangesdependsdesigndevelopmentefficiencyendenvironmentalenvironmentsessentialexposurefacilitiesfuturegoalgovernmentslandland-usemeansneeds
SHARED TOKENS (32): "applied", "central", "changes", "depends", "design", "development", "efficiency", "end", "environmental", "environments", "essential", "exposure", "facilities", "future", "goal", "governments", "land", "land-use", "means", "needs"....
0.300
continuedhelpslaborsystemtraining
SHARED TOKENS (5): "continued", "helps", "labor", "system", "training". | EXACT TITLE in technology: "Apprenticeship".
0.300
accessbecomebuiltconnectedcurrentcustomersdeliveryelectricalgeneratorsgrowinglargemarketsmillionnearlyneednetworkoperatepowerrisksecurity
SHARED TOKENS (26): "access", "become", "built", "connected", "current", "customers", "delivery", "electrical", "generators", "growing", "large", "markets", "million", "nearly", "need", "network", "operate", "power", "risk", "security"....
0.300
analyticsannouncedbankcenterscloudcomputingdataenterpriseenvironmentshostinginfrastructuremultipleplatformpublicstoragetools
SHARED TOKENS (16): "analytics", "announced", "bank", "centers", "cloud", "computing", "data", "enterprise", "environments", "hosting", "infrastructure", "multiple", "platform", "public", "storage", "tools".
0.300
Smart city ↗ Q1231558 KW CROSS HIGH
alreadybuildingsbuiltbusinessescapitalconnecteddatadigitaldiverseeducationefficiencyfuturegovernmentgovernmentshealthcarehospitalsinfrastructureinternetlargestlocal
SHARED TOKENS (40): "already", "buildings", "built", "businesses", "capital", "connected", "data", "digital", "diverse", "education", "efficiency", "future", "government", "governments", "healthcare", "hospitals", "infrastructure", "internet", "largest", "local"....
0.300
controlcontrolsdataestablishedfinancialintendedinternaloperatingpublicrelevantreportreportingsystemsystemstrust
SHARED TOKENS (15): "control", "controls", "data", "established", "financial", "intended", "internal", "operating", "public", "relevant", "report", "reporting", "system", "systems", "trust".
0.300
accessbeginningbusinessbusinessescenterschangescloudcomputingconnectivitycustomersdataenterprisefiberformerlyhostingimportantinternetlocallumenmanaged
SHARED TOKENS (31): "access", "beginning", "business", "businesses", "centers", "changes", "cloud", "computing", "connectivity", "customers", "data", "enterprise", "fiber", "formerly", "hosting", "important", "internet", "local", "lumen", "managed"....
0.300
businesschangescontinuecontinuitydeliverydisastereitherenvironmentalgoalintendedoperationsplanningprocessrecoverysystems
SHARED TOKENS (15): "business", "changes", "continue", "continuity", "delivery", "disaster", "either", "environmental", "goal", "intended", "operations", "planning", "process", "recovery", "systems".
0.300
accessaccountingbusinesscapabilitiescapacitycategorycommercialconnectionscorporatedatadevelopmentefficiencyenterpriseessentialexistingfinanceflowfutureglobalhardware
SHARED TOKENS (38): "access", "accounting", "business", "capabilities", "capacity", "category", "commercial", "connections", "corporate", "data", "development", "efficiency", "enterprise", "essential", "existing", "finance", "flow", "future", "global", "hardware"....
0.300
Remote work ↗ Q1135326 KW CROSS HIGH
accessadvantagesanotheraroundcloudcomputingcontrolsdiversedowntownenvironmentaleveninternetlargelivenetworkofficeofficesremotescalesmall
SHARED TOKENS (27): "access", "advantages", "another", "around", "cloud", "computing", "controls", "diverse", "downtown", "environmental", "even", "internet", "large", "live", "network", "office", "offices", "remote", "scale", "small"....
0.300
Tax holiday ↗ Q3504234 KW CROSS HIGH
businessbusinessescorporatecreateexistinggovernmentsgrowthincentivesindustriesinvestmentlawlocalnationalprivateretentionsmallertax
SHARED TOKENS (17): "business", "businesses", "corporate", "create", "existing", "governments", "growth", "incentives", "industries", "investment", "law", "local", "national", "private", "retention", "smaller", "tax".
0.300
accesscloudcomputingdevelopmentfebruaryformerlyglobalgovernmentsinfrastructurelatermarchmultipleoctoberplatformprojectsoftwaresystemstools
SHARED TOKENS (18): "access", "cloud", "computing", "development", "february", "formerly", "global", "governments", "infrastructure", "later", "march", "multiple", "october", "platform", "project", "software", "systems", "tools".
0.300
activeavailabilitybuildingcentercenterscloudcommercialcomputingcoolingcriticaldataevenfacilitiesfacilityiiiindustriesinfrastructurelargeloadmultiple
SHARED TOKENS (35): "active", "availability", "building", "center", "centers", "cloud", "commercial", "computing", "cooling", "critical", "data", "even", "facilities", "facility", "iii", "industries", "infrastructure", "large", "load", "multiple"....
0.300
Help desk ↗ Q2055062 KW CROSS HIGH
customersdevelopmentdifferenthelpknowledgelargeplanningproblemssimplesolvedspecializedstructuresupportsystemstechnicaltechnologyvaluework
SHARED TOKENS (18): "customers", "development", "different", "help", "knowledge", "large", "planning", "problems", "simple", "solved", "specialized", "structure", "support", "systems", "technical", "technology", "value", "work".
0.300
anothercriticaldevelopmenteducationlabornationalonlinepolicypoliticalrebrandedrelatedschoolssecuritysocialsourcestechnicaltechnologyworkforce
SHARED TOKENS (18): "another", "critical", "development", "education", "labor", "national", "online", "policy", "political", "rebranded", "related", "schools", "security", "social", "sources", "technical", "technology", "workforce".
0.300
airattentioncannotclimatedemanddevelopmenteducationenvironmentalglobalgovernmentsgrowingindustrialindustryinstitutionslandlargelivemajorpeakproblem
SHARED TOKENS (31): "air", "attention", "cannot", "climate", "demand", "development", "education", "environmental", "global", "governments", "growing", "industrial", "industry", "institutions", "land", "large", "live", "major", "peak", "problem"....
0.300
compliancedifferentefficiencyfuelgeneratorsmarketoctoberpolicyprivateproduceprogramsregulatorysourcessupplysupportingutilities
SHARED TOKENS (16): "compliance", "different", "efficiency", "fuel", "generators", "market", "october", "policy", "private", "produce", "programs", "regulatory", "sources", "supply", "supporting", "utilities".
0.300
alreadybeginningcentralchipscomputingcreatedatahistorykindlargelargestmultipleoperatepowerprocesssecondtraditional
SHARED TOKENS (17): "already", "beginning", "central", "chips", "computing", "create", "data", "history", "kind", "large", "largest", "multiple", "operate", "power", "process", "second", "traditional".
0.300
businesscapabilitiescentralcustomerenterprisegrowinginfrastructureneedoperatingoperationalorganizedrelevancerolesecuresupporttechnicaltechnologytoolsvalue
SHARED TOKENS (19): "business", "capabilities", "central", "customer", "enterprise", "growing", "infrastructure", "need", "operating", "operational", "organized", "relevance", "role", "secure", "support", "technical", "technology", "tools", "value".
0.300
Solar power ↗ Q1483757 KW CROSS HIGH
builtcapacityclimatecommercialconversioncurrenteitherglobalimportantlargepolicypowerremotesecuritysinglesmallsourcesystemsystems
SHARED TOKENS (19): "built", "capacity", "climate", "commercial", "conversion", "current", "either", "global", "important", "large", "policy", "power", "remote", "security", "single", "small", "source", "system", "systems".
0.300
assetbuildingbuiltbusinessbusinessescommercialcontractcontractscustomerdesignedeitherfarmsfirmsfuelgeneratorsgovernmentgovernmentslong-termmarketpower
SHARED TOKENS (25): "asset", "building", "built", "business", "businesses", "commercial", "contract", "contracts", "customer", "designed", "either", "farms", "firms", "fuel", "generators", "government", "governments", "long-term", "market", "power"....
0.300
availabilitybuildbuildingcapacitycenterscentralcloudcompliancecomputecomputingcustomercustomersdataeitherfarmsfoundationalglobalgovernmentgovernmentshardware
SHARED TOKENS (49): "availability", "build", "building", "capacity", "centers", "central", "cloud", "compliance", "compute", "computing", "customer", "customers", "data", "either", "farms", "foundational", "global", "government", "governments", "hardware"....
0.300
analysisanotherbehindcapacitycommercialcontrolcreationdevelopmentglobalgovernmentimportantindustrialinstitutionsknowledgemarketmeansprivateprocesspublicrelated
SHARED TOKENS (22): "analysis", "another", "behind", "capacity", "commercial", "control", "creation", "development", "global", "government", "important", "industrial", "institutions", "knowledge", "market", "means", "private", "process", "public", "related"....
0.300
aroundbuildingsbusinesscentersdatadesignedelectricalemergencyflowhardwarelargeloadpowerserioussinglesourcesourcessupplysystemups
SHARED TOKENS (20): "around", "buildings", "business", "centers", "data", "designed", "electrical", "emergency", "flow", "hardware", "large", "load", "power", "serious", "single", "source", "sources", "supply", "system", "ups".
0.300
announcedannualaroundclimatecontinueddeepdifferenteffectsefficiencyexistingexpectedglobalgovernmentinvestmentlargestnationalneedplaceraterequire
SHARED TOKENS (21): "announced", "annual", "around", "climate", "continued", "deep", "different", "effects", "efficiency", "existing", "expected", "global", "government", "investment", "largest", "national", "need", "place", "rate", "require"....
0.300
accessavailabilitybusinesscontinuitycontrolcriticaldatadigitalenterprisegovernmentindustryinfrastructureintendedinternalknowledgemajornetworksoperationsphysicalplanning
SHARED TOKENS (32): "access", "availability", "business", "continuity", "control", "critical", "data", "digital", "enterprise", "government", "industry", "infrastructure", "intended", "internal", "knowledge", "major", "networks", "operations", "physical", "planning"....
🫐 BERRY31 edges
0.280
buildbusinesscontrolcustomercustomersdesignneedsnetworkoperateprocessreportsupportsystemstechnology
SHARED TOKENS (14): "build", "business", "control", "customer", "customers", "design", "needs", "network", "operate", "process", "report", "support", "systems", "technology".
0.280
HITRUST ↗ Q5629803 EXACT TITLE
complianceformerlyrisktrust
SHARED TOKENS (4): "compliance", "formerly", "risk", "trust". | EXACT TITLE in data_center: "HITRUST".
0.280
intermountainregionwestwestern
SHARED TOKENS (4): "intermountain", "region", "west", "western". | EXACT TITLE in data_center: "Intermountain West". | EXACT TITLE in technology: "Intermountain West".
0.260
coolingmeanswater
SHARED TOKENS (3): "cooling", "means", "water". | EXACT TITLE in data_center: "Liquid cooling".
0.260
Dark fibre ↗ Q1878571 KW CROSS HIGH
capacitydatademandinfrastructurelatermarketnetworkopticprivateprovidertelecomtraditionaltransmission
SHARED TOKENS (13): "capacity", "data", "demand", "infrastructure", "later", "market", "network", "optic", "private", "provider", "telecom", "traditional", "transmission".
0.260
Angel investor ↗ Q778274 KW CROSS HIGH
approximatelybusinessbusinessescapitalgrowinginvestmentnearlynetworksonlineprivaterisksmallsupport
SHARED TOKENS (13): "approximately", "business", "businesses", "capital", "growing", "investment", "nearly", "networks", "online", "private", "risk", "small", "support".
0.240
buildconnectionsdatadesignedelectricalhistoricallynetworksignalsspecializedstructuretraditionaltransmission
SHARED TOKENS (12): "build", "connections", "data", "designed", "electrical", "historically", "network", "signals", "specialized", "structure", "traditional", "transmission".
0.240
accesscentercentersemergencyfireinternetlocalnetworkoperatorspointpublicsystem
SHARED TOKENS (12): "access", "center", "centers", "emergency", "fire", "internet", "local", "network", "operators", "point", "public", "system".
0.240
commercecontrolscybersecuritygovernmenthelpintendednationalprogramsrelatedsecuritysystemstechnology
SHARED TOKENS (12): "commerce", "controls", "cybersecurity", "government", "help", "intended", "national", "programs", "related", "security", "systems", "technology".
0.240
boisebusinesseducationfiscalidahomillionprogramprogramspublicreportedschoolwest
SHARED TOKENS (12): "boise", "business", "education", "fiscal", "idaho", "million", "program", "programs", "public", "reported", "school", "west".
0.240
digitalestablishedfinancefinancialfintechfirmsindustryonlineplatformssystemstechnologytraditional
SHARED TOKENS (12): "digital", "established", "finance", "financial", "fintech", "firms", "industry", "online", "platforms", "systems", "technology", "traditional".
0.220
Freight exchange ↗ KW CROSS HIGH
aircapacitycustomersloadlogisticsneedneedsonlineprivateprovidersroad
SHARED TOKENS (11): "air", "capacity", "customers", "load", "logistics", "need", "needs", "online", "private", "providers", "road".
0.220
businesseshealthcareiiiindustriesinsurancejobslawnationalplansprovidersrequire
SHARED TOKENS (11): "businesses", "healthcare", "iii", "industries", "insurance", "jobs", "law", "national", "plans", "providers", "require".
0.220
Fraud ↗ Q28813 EXACT TITLE
anotherlaw
SHARED TOKENS (2): "another", "law". | EXACT TITLE in technology: "Fraud".
0.220
highlyindustriesindustrymanufacturingmatterpowerscalesemiconductortreatedtreatmentwater
SHARED TOKENS (11): "highly", "industries", "industry", "manufacturing", "matter", "power", "scale", "semiconductor", "treated", "treatment", "water".
0.220
appliedcentersdeliveryefficiencyprovidersreportsecuresmallsystemsystemstechnology
SHARED TOKENS (11): "applied", "centers", "delivery", "efficiency", "providers", "report", "secure", "small", "system", "systems", "technology".
0.210
Enfusion ↗ Q5377362 EXACT TITLE
events
SHARED TOKENS (1): "events". | EXACT TITLE in technology: "Enfusion".
0.200
LTE ↗ Q247385 EXACT TITLE
EXACT TITLE in technology: "LTE".
0.200
annualcentercoolingdatadatacenterson-siteproducingsimplesitewater
SHARED TOKENS (10): "annual", "center", "cooling", "data", "datacenters", "on-site", "producing", "simple", "site", "water".
0.200
businesscorporateeithereventhighlyindustriesprocessprogramspublictraditional
SHARED TOKENS (10): "business", "corporate", "either", "event", "highly", "industries", "process", "programs", "public", "traditional".
0.200
annualcapacityfacilityidahoimportantindustrieslandlargestmajormanufacturing
SHARED TOKENS (10): "annual", "capacity", "facility", "idaho", "important", "industries", "land", "largest", "major", "manufacturing".
0.180
advantageairbuildingcoolinglargeprocesssystemstransitionwater
SHARED TOKENS (9): "advantage", "air", "building", "cooling", "large", "process", "systems", "transition", "water".
0.180
HP LaserJet ↗ Q4040290 KW CROSS HIGH
basedifferenthistorylatermodelofficesreportedservingtechnology
SHARED TOKENS (9): "base", "different", "history", "later", "model", "offices", "reported", "serving", "technology".
0.180
451 Group ↗ Q55602817 KW CROSS HIGH
analyticscenterdataglobalindustryoperatingoperatorstechnologyuptime
SHARED TOKENS (9): "analytics", "center", "data", "global", "industry", "operating", "operators", "technology", "uptime".
0.160
adaboisegovernmentidahomunicipalnearlysecondstreet
SHARED TOKENS (8): "ada", "boise", "government", "idaho", "municipal", "nearly", "second", "street".
0.160
accesscolocationcommercialhostinginternetorganizedproviderrelated
SHARED TOKENS (8): "access", "colocation", "commercial", "hosting", "internet", "organized", "provider", "related".
0.140
builtenvironmentallandpublicrisktransitiontransmission
SHARED TOKENS (7): "built", "environmental", "land", "public", "risk", "transition", "transmission".
0.120
Land development ↗ KW CROSS HIGH
buildingdevelopmentestatehousinglandreal
SHARED TOKENS (6): "building", "development", "estate", "housing", "land", "real".
0.120
designedinternetmakesnetworksystemsystems
SHARED TOKENS (6): "designed", "internet", "makes", "network", "system", "systems".
0.100
centercontrolmonitoringnetworkoperations
SHARED TOKENS (5): "center", "control", "monitoring", "network", "operations".
0.100
Reserved word ↗ Q1192029 KW CROSS HIGH
adaanothercannotdistincttreated
SHARED TOKENS (5): "ada", "another", "cannot", "distinct", "treated".
◈ Frequently Asked Questions
Data Center × Technology — Treasure Valley
HAIKU · HIGH GATE
Why do hyperscale computing operations choose the Treasure Valley for data center locations?
Idaho Power provides reliable electrical infrastructure that hyperscale computing facilities require for continuous operation, while the Treasure Valley's geography and climate reduce computer cooling costs compared to other regions. Meta Platforms and other technology companies evaluate power availability and cooling efficiency as primary factors when selecting data center sites in Boise and the surrounding region.
How does colocation in Treasure Valley data centers support local technology development?
Colocation facilities in the Treasure Valley enable software as a service providers and edge computing companies to reduce network latency by hosting systems closer to users across the Mountain West. Micron Technology and other Idaho technology firms benefit from proximity to these data centers, which reduces physical distance for machine learning workloads and digital infrastructure management.
What role does computer security play in Treasure Valley data center infrastructure?
Data centers operating in Boise implement redundancy systems and security protocols to protect digital networks and telecommunications infrastructure serving Idaho's technology sector. The Idaho Department of Commerce recognizes that computer security capabilities within these facilities strengthen the technology development environment across the Treasure Valley.
How do Treasure Valley data centers enable machine learning and software development?
High-capacity computing systems in Treasure Valley data centers provide the electrical power and physical infrastructure needed for machine learning operations that technology companies require for product development. Edge computing deployments in Boise-area data centers reduce latency for internet and network services, allowing software as a service providers to deliver faster digital experiences.
◈ Provenance Chain · refinery-treasurevalley-v1.0.0
Data Center × Technology 27 QID bridges 145 edges 3,559 ext links 2026-07-17 20:20:30 UTC 9ebc0512d7c2035e
Data Center corridor ↗ Technology corridor ↗ Technology × Data Center ↗ boisestandard.org/standard ↗
Parent Corridors
Data Center × All Other Verticals