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

Data Center ↔ relates to ↔ Semiconductor

8 Wikipedia bridge articles confirmed in both vertical ledgers. 158 deterministic cross-vertical edges. 4,123 external source links harvested. Every edge provenance-stamped. Every claim auditable.

8 QID Bridge Articles
158 Cross Edges
4,123 External Sources
175 Wikipedia Articles
7 🌲 Evergreen
103 🌿 Branch
MEDIUM SIGNAL · refinery-treasurevalley-v1.0.0
◈ Machine-Readable Schema
Deterministic Cross-Vertical Summary
PASS 2 · ZERO LLM
Entities Compared
Data Center
× Semiconductor
QID Bridge Articles
8
confirmed Wikipedia overlap
Total Cross Edges
158
External Sources Harvested
4,123
from Wikipedia external links
Geography
Treasure Valley, Ada County, Canyon County, Idaho, United States
Gate Tier
medium
Schema summary only
Strongest Edge
Data center
score: 1.0000  ·  type: exact_title_cross  ·  60 shared tokens
QID Bridge Titles (8)
Data centerTreasure ValleyMicron TechnologyHigh-performance computingBoise, IdahoAda County, IdahoIdaho Department of CommerceKuna, Idaho
Shared Semantics (20 tokens)
idahoboiselocaldatademandfeetgrowthstoragecommercetreasurevalleymajormicrontechnologycapitalalonearoundartificialbuildingcenter
Pipeline
refinery-treasurevalley-v1.0.0
Generated
2026-07-17 20:20:09 UTC
Content Hash
4f51fde2f314de14
◈ Wikipedia Bridge Articles
QID Overlap — Confirmed in Both Vertical Ledgers
8 BRIDGES
Data center
Q671224 EXACT TITLE 1.000
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alonearoundartificialbuildingcentercenterscleancloudconditionsconnectionconsumecontroldatademanddependingdifferentdigitaledgeelectricalelectricityendenergyenvironmentalfacilitiesfacilityfeetglobalgrowinggrowthinfrastructure+30
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.
Treasure Valley
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boisecommercehistoricallyidaholandlocallowerregiontreasurevalleywestern
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.
Micron Technology
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nology, Inc. is an American multinational semiconductor company that manufactures 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.
High-performance computing
Q1190465 EXACT TITLE 0.720
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advancedcomputing
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.
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.
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.
ise 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.
Ada County, Idaho
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behindboisecapitalfaridaholargestlocalprivatesecond
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.
94,967, 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.
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. Canyon County, which originally included Payette County and most of Gem County, was partitioned from western Ada County in 1891. Geography According to the United States Census Bureau, the county has a total area of 1,060 square miles (2,700 km2), of which 1,053 square miles (2,730 km2) is land and 7.9 square miles (20 km2) (0.7%) is water. The Boise River flows through the northern portion of the county, and the northwest border is bounded by the foothills of the Boise Range mountains; the summits are in adjacent Boise County.
Idaho Department of Commerce
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commercedevelopmenteconomicgrowthidahopublicstate-leveltax
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.
Kuna, Idaho
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boiseidahokunanearly
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.
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Site selection ↗ EXACT TITLE
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0.320
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0.320
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0.300
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0.300
Solid-state drive ↗ KW CROSS HIGH
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0.300
Moore's law ↗ Q178655 KW CROSS HIGH
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0.300
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0.300
TSMC ↗ Q713418 KW CROSS HIGH
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0.300
Dark fibre ↗ Q1878571 KW CROSS HIGH
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0.300
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0.300
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0.300
Flash memory ↗ Q174077 KW CROSS HIGH
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0.300
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0.300
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SHARED TOKENS (23): "application", "availability", "becoming", "centers", "cloud", "critical", "data", "delivery", "different", "end", "geographically", "high", "intelligence", "large", "layer", "network", "operators", "pays", "providers", "security"....
0.300
Peak demand ↗ Q3393666 KW CROSS HIGH
actualcapacitycommercialcoolingcostdailydemandelectricelectricalelectricityenergyevenexpectedgridhighindividualindustrialoperatingpointpower
SHARED TOKENS (25): "actual", "capacity", "commercial", "cooling", "cost", "daily", "demand", "electric", "electrical", "electricity", "energy", "even", "expected", "grid", "high", "individual", "industrial", "operating", "point", "power"....
0.300
builtcapacitycompareddatadynamicexpensivehighmainmeaningmemorymultipleneededolderoperatingprogramssemiconductorsoftwarestoragesystems
SHARED TOKENS (19): "built", "capacity", "compared", "data", "dynamic", "expensive", "high", "main", "meaning", "memory", "multiple", "needed", "older", "operating", "programs", "semiconductor", "software", "storage", "systems".
0.300
accesschipchipsdatadifferentdigitaldynamicindustrymainmeansmemoryprogramsemiconductorshiftsinglestoragethereforetypesworking
SHARED TOKENS (19): "access", "chip", "chips", "data", "different", "digital", "dynamic", "industry", "main", "means", "memory", "program", "semiconductor", "shift", "single", "storage", "therefore", "types", "working".
0.300
appliedcentralchangechangesconditionsdependsdesigndevelopmenteconomicefficiencyendenvironmentalenvironmentsessentialexposurefacilitiesfuturelandmeansneeds
SHARED TOKENS (32): "applied", "central", "change", "changes", "conditions", "depends", "design", "development", "economic", "efficiency", "end", "environmental", "environments", "essential", "exposure", "facilities", "future", "land", "means", "needs"....
0.300
accessbecomebuiltconnectedcurrentdeliveryelectricelectricalelectricityenergyfargridgrowingincreaseslargemarketsmeaningmillionnearlyneed
SHARED TOKENS (30): "access", "become", "built", "connected", "current", "delivery", "electric", "electrical", "electricity", "energy", "far", "grid", "growing", "increases", "large", "markets", "meaning", "million", "nearly", "need"....
0.300
announcedannouncementapplicationcenterscloudcomputingdataenvironmentsinfrastructuremultipleplatformpublicstatedstoragetools
SHARED TOKENS (15): "announced", "announcement", "application", "centers", "cloud", "computing", "data", "environments", "infrastructure", "multiple", "platform", "public", "stated", "storage", "tools".
0.300
contexthandlinglargesemiconductorsingle
SHARED TOKENS (5): "context", "handling", "large", "semiconductor", "single". | EXACT TITLE in data_center: "Die (integrated circuit)". | EXACT TITLE in semiconductor: "Die (integrated circuit)".
0.300
chipcontrolgridhightype
SHARED TOKENS (5): "chip", "control", "grid", "high", "type". | EXACT TITLE in semiconductor: "Ball grid array".
0.300
centralchangedchipchipscontroldesignincreaseindividuallogicmainmemorymultipleoperatingoperationsoutputphysicalprogramremainsrolesemiconductor
SHARED TOKENS (25): "central", "changed", "chip", "chips", "control", "design", "increase", "individual", "logic", "main", "memory", "multiple", "operating", "operations", "output", "physical", "program", "remains", "role", "semiconductor"....
0.300
builtcapacitycapitalchipchipscomparedconstructionconsumecontrolcostdatadesigndesignsdigitalexpensivefoundationalhighmainmeanspower
SHARED TOKENS (31): "built", "capacity", "capital", "chip", "chips", "compared", "construction", "consume", "control", "cost", "data", "design", "designs", "digital", "expensive", "foundational", "high", "main", "means", "power"....
0.300
controlcontrolsdatafinancialframeworkintendedissuenistoperatingorganizationspublicrelevantreportreportingsometimessystemsystemstypetypes
SHARED TOKENS (19): "control", "controls", "data", "financial", "framework", "intended", "issue", "nist", "operating", "organizations", "public", "relevant", "report", "reporting", "sometimes", "system", "systems", "type", "types".
0.300
accessbusinesscenterschangescloudcomputingdatafiberimportantlocalnetworknetworksprivateproviderspublicsecurityservingtechnology
SHARED TOKENS (18): "access", "business", "centers", "changes", "cloud", "computing", "data", "fiber", "important", "local", "network", "networks", "private", "providers", "public", "security", "serving", "technology".
0.300
applicationdevelopmentdifferenteffectselectricityenergylayersmicronpowerreducescalesemiconductorsignificanttechnologythem
SHARED TOKENS (15): "application", "development", "different", "effects", "electricity", "energy", "layers", "micron", "power", "reduce", "scale", "semiconductor", "significant", "technology", "them".
0.300
accessbusinesscapacitycategorycommercialcommitmentscorporatedatadevelopmentefficiencyessentialexistingfinanceflowfutureglobalincreasinglylargemainmanufacturing
SHARED TOKENS (34): "access", "business", "capacity", "category", "commercial", "commitments", "corporate", "data", "development", "efficiency", "essential", "existing", "finance", "flow", "future", "global", "increasingly", "large", "main", "manufacturing"....
0.300
airanchorbuildingcarefulcleanconstructioncontrolcontrolledcostcreatecriticaldeepdeliverydesignselectricalelectricityenvironmentevenexpensivehandling
SHARED TOKENS (38): "air", "anchor", "building", "careful", "clean", "construction", "control", "controlled", "cost", "create", "critical", "deep", "delivery", "designs", "electrical", "electricity", "environment", "even", "expensive", "handling"....
0.300
applicationcentercomparedcomputingconnecteddatadeliverydesignedgenearnetworksplacereduceserverssourcesstoragesystems
SHARED TOKENS (17): "application", "center", "compared", "computing", "connected", "data", "delivery", "design", "edge", "near", "networks", "place", "reduce", "servers", "sources", "storage", "systems".
0.300
Tax holiday ↗ Q3504234 KW CROSS HIGH
businesscorporatecreateexistinggrowthincentivesincreaseinvestmentlocalnationalprivatereduceretentionsmallersometimestax
SHARED TOKENS (16): "business", "corporate", "create", "existing", "growth", "incentives", "increase", "investment", "local", "national", "private", "reduce", "retention", "smaller", "sometimes", "tax".
0.300
accesscloudcomputingdevelopmentglobalinfrastructurelatermultipleplatformprojectsoftwaresometimessupportssystemstools
SHARED TOKENS (15): "access", "cloud", "computing", "development", "global", "infrastructure", "later", "multiple", "platform", "project", "software", "sometimes", "supports", "systems", "tools".
0.300
categorycentercenterscomputingcoolingdatadata-centerdescribesefficiencyenergyfacilityglobalgridinfrastructurepowerspecificallysupports
SHARED TOKENS (17): "category", "center", "centers", "computing", "cooling", "data", "data-center", "describes", "efficiency", "energy", "facility", "global", "grid", "infrastructure", "power", "specifically", "supports".
0.300
centralchipchipscomparedcomputingcontrolcostcriticaldatadedicateddesigndesigneddesignsedgeefficiencyfarhighimportantincreasinglylower
SHARED TOKENS (32): "central", "chip", "chips", "compared", "computing", "control", "cost", "critical", "data", "dedicated", "design", "designed", "designs", "edge", "efficiency", "far", "high", "important", "increasingly", "lower"....
0.300
becomesconcerncriticaldatadigitalessentialfinancegrowinginfrastructurenetworknetworksphysicalpowersecuritysoftwaresystemstechnologytherefore
SHARED TOKENS (18): "becomes", "concern", "critical", "data", "digital", "essential", "finance", "growing", "infrastructure", "network", "networks", "physical", "power", "security", "software", "systems", "technology", "therefore".
0.300
availabilitybuildingcentercenterscloudcommercialcomputingcoolingcriticaldataevenfacilitiesfacilityframeworkgeographicallyhighinfrastructurelargemultiplepath
SHARED TOKENS (31): "availability", "building", "center", "centers", "cloud", "commercial", "computing", "cooling", "critical", "data", "even", "facilities", "facility", "framework", "geographically", "high", "infrastructure", "large", "multiple", "path"....
0.300
aircannotchangecrucialdemanddevelopmenteducationenergyenvironmentenvironmentalglobalgrowingindividualindustrialindustryinstitutionslandlargemajorprogram
SHARED TOKENS (30): "air", "cannot", "change", "crucial", "demand", "development", "education", "energy", "environment", "environmental", "global", "growing", "individual", "industrial", "industry", "institutions", "land", "large", "major", "program"....
0.300
aroundbuiltcurrentdensitydesignefficiencyevenpowerprocessregionsemiconductorsidesinglesourcestructuretechnologytype
SHARED TOKENS (17): "around", "built", "current", "density", "design", "efficiency", "even", "power", "process", "region", "semiconductor", "side", "single", "source", "structure", "technology", "type".
0.300
artificialbasicdesigneddigitalearliereitherhandlinghelpincreasinglyintelligenceinvolvinglatermemoryneedednetworksoperationsprogramsseparatesinglespecialized
SHARED TOKENS (25): "artificial", "basic", "designed", "digital", "earlier", "either", "handling", "help", "increasingly", "intelligence", "involving", "later", "memory", "needed", "networks", "operations", "programs", "separate", "single", "specialized"....
0.300
compliancecostdifferentefficiencyelectricityenergymarketpolicyprivateprogramsregulatoryrenewablesolarsourcessupplysupportingtypesutilities
SHARED TOKENS (18): "compliance", "cost", "different", "efficiency", "electricity", "energy", "market", "policy", "private", "programs", "regulatory", "renewable", "solar", "sources", "supply", "supporting", "types", "utilities".
0.300
Offshoring ↗ Q9051832 KW CROSS HIGH
businesscompleteddeliverydescribeddifferentinvolvingmanufacturingmeansoperationsprocessrelatedsupportingtechnicalthereforework
SHARED TOKENS (15): "business", "completed", "delivery", "described", "different", "involving", "manufacturing", "means", "operations", "process", "related", "supporting", "technical", "therefore", "work".
0.300
businesscorporatededicatedlargestmajormanufacturermarketmemorynetworksrelatedrolesemiconductorsemiconductorssoftwaresuppliertechnology
SHARED TOKENS (16): "business", "corporate", "dedicated", "largest", "major", "manufacturer", "market", "memory", "networks", "related", "role", "semiconductor", "semiconductors", "software", "supplier", "technology".
0.300
alreadycentralchipscomputingcreatedatafarhistorylargelargestlowermultiplepowerprocessscientificsecondtraditional
SHARED TOKENS (17): "already", "central", "chips", "computing", "create", "data", "far", "history", "large", "largest", "lower", "multiple", "power", "process", "scientific", "second", "traditional".
0.300
applicationbusinesscentralgrowinginfrastructureneedoperatingorganizationsrelevancerolesupportsupportstechnicaltechnologytoolsvalue
SHARED TOKENS (16): "application", "business", "central", "growing", "infrastructure", "need", "operating", "organizations", "relevance", "role", "support", "supports", "technical", "technology", "tools", "value".
0.300
Solar power ↗ Q1483757 KW CROSS HIGH
builtcapacitychangecommercialconvertcostcurrenteitherelectricelectricityenergyglobalgridimportantlargeneededpolicypowersecuritysingle
SHARED TOKENS (24): "built", "capacity", "change", "commercial", "convert", "cost", "current", "either", "electric", "electricity", "energy", "global", "grid", "important", "large", "needed", "policy", "power", "security", "single"....
0.300
agreementbuildingbuiltbusinesscommercialcontractdependingdesignedeitherelectricityenergyespeciallyfirmsgovernmentlong-termmarketpowerratherrenewablereported
SHARED TOKENS (25): "agreement", "building", "built", "business", "commercial", "contract", "depending", "designed", "either", "electricity", "energy", "especially", "firms", "government", "long-term", "market", "power", "rather", "renewable", "reported"....
0.300
actualapplicationavailabilitybuildbuildingcapacitycenterscentralcloudcompliancecomputecomputingdatadedicatedeitherfoundationalglobalgovernmenthighinfrastructure
SHARED TOKENS (48): "actual", "application", "availability", "build", "building", "capacity", "centers", "central", "cloud", "compliance", "compute", "computing", "data", "dedicated", "either", "foundational", "global", "government", "high", "infrastructure"....
0.300
aroundbuildingsbusinesscentersdatadesignedelectricalemergencyenergyflowlargepowersinglesizesourcesourcessupplysystemtype
SHARED TOKENS (19): "around", "buildings", "business", "centers", "data", "designed", "electrical", "emergency", "energy", "flow", "large", "power", "single", "size", "source", "sources", "supply", "system", "type".
0.300
announcedaroundcommitmentscutsdeepdifferenteffectsefficiencyenergyexistingexpectedframeworkglobalgovernmentinvestmentlargestmainmeaningnationalneed
SHARED TOKENS (24): "announced", "around", "commitments", "cuts", "deep", "different", "effects", "efficiency", "energy", "existing", "expected", "framework", "global", "government", "investment", "largest", "main", "meaning", "national", "need"....
0.300
accessavailabilitybusinesscontrolcriticaldatadigitaldisciplinegovernmentincreasinglyindustryinfrastructureinspectionintendedmajornetworksoperationsphysicalplanningpolicy
SHARED TOKENS (29): "access", "availability", "business", "control", "critical", "data", "digital", "discipline", "government", "increasingly", "industry", "infrastructure", "inspection", "intended", "major", "networks", "operations", "physical", "planning", "policy"....
🫐 BERRY48 edges
0.280
airapproximatelychangeflowindustrialirrigationmultiplerenewablesourcesourcessupplyusefulwastewaterwater
SHARED TOKENS (14): "air", "approximately", "change", "flow", "industrial", "irrigation", "multiple", "renewable", "source", "sources", "supply", "useful", "wastewater", "water".
0.280
Machine learning ↗ Q2539 KW CROSS HIGH
analysisapproximatelyartificialcorrectdatadeepdescribeddevelopmentexplicitlyframeworkintelligencenetworksrelatedtraditional
SHARED TOKENS (14): "analysis", "approximately", "artificial", "correct", "data", "deep", "described", "development", "explicitly", "framework", "intelligence", "networks", "related", "traditional".
0.280
aroundcurrentdesigneitherelectricityhandlinglargepowersemiconductorsemiconductorssupplysystemsthereforetransmission
SHARED TOKENS (14): "around", "current", "design", "either", "electricity", "handling", "large", "power", "semiconductor", "semiconductors", "supply", "systems", "therefore", "transmission".
0.280
builtindividualsemiconductorsolar
SHARED TOKENS (4): "built", "individual", "semiconductor", "solar". | EXACT TITLE in semiconductor: "Wafer (electronics)".
0.280
businesschangesconditionsdeliveryeitherenvironmentenvironmentalintendedoperationsorganizationsplanningprocesssystemsworking
SHARED TOKENS (14): "business", "changes", "conditions", "delivery", "either", "environment", "environmental", "intended", "operations", "organizations", "planning", "process", "systems", "working".
0.280
Disaster recovery ↗ EXACT TITLE
emergencyinfrastructureplantechnology
SHARED TOKENS (4): "emergency", "infrastructure", "plan", "technology". | EXACT TITLE in data_center: "Disaster recovery".
0.260
coolingcreategrowthindustryinsidelargemeansplaceprocesssemiconductorsitsverticalwater
SHARED TOKENS (13): "cooling", "create", "growth", "industry", "inside", "large", "means", "place", "process", "semiconductor", "sits", "vertical", "water".
0.260
coolingmeanswater
SHARED TOKENS (3): "cooling", "means", "water". | EXACT TITLE in data_center: "Liquid cooling".
0.260
commercecontrolscostgovernmenthelpintendednationalnistprogramsrelatedsecuritysystemstechnology
SHARED TOKENS (13): "commerce", "controls", "cost", "government", "help", "intended", "national", "nist", "programs", "related", "security", "systems", "technology".
0.260
capitalchipsdesigndevelopmentendlowermanufacturermanufacturingmarketsemiconductorsemiconductorsspecializedthird
SHARED TOKENS (13): "capital", "chips", "design", "development", "end", "lower", "manufacturer", "manufacturing", "market", "semiconductor", "semiconductors", "specialized", "third".
0.260
bringbuildingbuildingscapacityconnectedconnectsdifferentenvironmentlargeneedsnetworknetworkspath
SHARED TOKENS (13): "bring", "building", "buildings", "capacity", "connected", "connects", "different", "environment", "large", "needs", "network", "networks", "path".
0.240
bandwidthcommunicationelectricalfiberhighlocalnetworksplacesecondsignalstypevisible
SHARED TOKENS (12): "bandwidth", "communication", "electrical", "fiber", "high", "local", "networks", "place", "second", "signals", "type", "visible".
0.240
aircentralcoolingdesigneddevelopmentoperatingpowerprocessreducesinglesystemsystems
SHARED TOKENS (12): "air", "central", "cooling", "designed", "development", "operating", "power", "process", "reduce", "single", "system", "systems".
0.240
controldevelopmentfinalindustryintendedmakesmanufacturingprocessrelatedsemiconductorsystemstechnology
SHARED TOKENS (12): "control", "development", "final", "industry", "intended", "makes", "manufacturing", "process", "related", "semiconductor", "systems", "technology".
0.240
facthighlyindustrymanufacturingmatterpowerscalesemiconductortreatedtreatmenttypeswater
SHARED TOKENS (12): "fact", "highly", "industry", "manufacturing", "matter", "power", "scale", "semiconductor", "treated", "treatment", "types", "water".
0.220
semiconductortechnology
SHARED TOKENS (2): "semiconductor", "technology". | EXACT TITLE in semiconductor: "Wire bonding".
0.220
airbenefitsbuildingcoolingenergyfactlargeprocessreducesystemswater
SHARED TOKENS (11): "air", "benefits", "building", "cooling", "energy", "fact", "large", "process", "reduce", "systems", "water".
0.220
existingmajor
SHARED TOKENS (2): "existing", "major". | EXACT TITLE in semiconductor: "Silicon dioxide".
0.220
Lam Research ↗ Q1342041 KW CROSS HIGH
createindustrylargestmanufacturermanufacturingmarketsrelatedsemiconductorsuppliersystemsthird
SHARED TOKENS (11): "create", "industry", "largest", "manufacturer", "manufacturing", "markets", "related", "semiconductor", "supplier", "systems", "third".
0.220
applicationdigitalfinancefinancialfintechfirmsindustryplatformssystemstechnologytraditional
SHARED TOKENS (11): "application", "digital", "finance", "financial", "fintech", "firms", "industry", "platforms", "systems", "technology", "traditional".
0.220
regionwestern
SHARED TOKENS (2): "region", "western". | EXACT TITLE in data_center: "Intermountain West".
0.210
HITRUST ↗ Q5629803 EXACT TITLE
compliance
SHARED TOKENS (1): "compliance". | EXACT TITLE in data_center: "HITRUST".
0.200
criticalfacilitiesflowlogisticssecuritysupplysystemstraditionaltransportationvalue
SHARED TOKENS (10): "critical", "facilities", "flow", "logistics", "security", "supply", "systems", "traditional", "transportation", "value".
0.200
Managed services ↗ KW CROSS HIGH
continuousdemandenvironmentinfrastructurelong-termprovidersystemstechnicaltechnologytraditional
SHARED TOKENS (10): "continuous", "demand", "environment", "infrastructure", "long-term", "provider", "systems", "technical", "technology", "traditional".
0.200
SK Hynix ↗ Q370719 KW CROSS HIGH
chipsdigitaldynamiclargestmajormanufacturersmemorymicronsemiconductorsupplier
SHARED TOKENS (10): "chips", "digital", "dynamic", "largest", "major", "manufacturers", "memory", "micron", "semiconductor", "supplier".
0.200
appliedcentersdeliveryefficiencyprovidersreportsupportssystemsystemstechnology
SHARED TOKENS (10): "applied", "centers", "delivery", "efficiency", "providers", "report", "supports", "system", "systems", "technology".
0.180
costdatadynamicexpensivemainmemorypowerpresencetype
SHARED TOKENS (9): "cost", "data", "dynamic", "expensive", "main", "memory", "power", "presence", "type".
0.180
centercoolingdataelectricityenergygridsimplesitewater
SHARED TOKENS (9): "center", "cooling", "data", "electricity", "energy", "grid", "simple", "site", "water".
0.180
chipchipslargemanufacturermultiplesemiconductorsmallertechnologytreated
SHARED TOKENS (9): "chip", "chips", "large", "manufacturer", "multiple", "semiconductor", "smaller", "technology", "treated".
0.180
Flip chip ↗ KW CROSS HIGH
chipchipsconnectioncontrolledelectricfinalsemiconductorsidesystems
SHARED TOKENS (9): "chip", "chips", "connection", "controlled", "electric", "final", "semiconductor", "side", "systems".
0.180
appliedbehindchipslargestsecondsemiconductorsoftwaresolarsupplier
SHARED TOKENS (9): "applied", "behind", "chips", "largest", "second", "semiconductor", "software", "solar", "supplier".
0.180
controlcontrolledcontrolsgovernmentlocalregulatedsoftwaretechnologyuseful
SHARED TOKENS (9): "control", "controlled", "controls", "government", "local", "regulated", "software", "technology", "useful".
0.160
451 Group ↗ Q55602817 KW CROSS HIGH
centerdatafirmglobalindustryoperatingoperatorstechnology
SHARED TOKENS (8): "center", "data", "firm", "global", "industry", "operating", "operators", "technology".
0.160
capacityfacilityidahoimportantlandlargestmajormanufacturing
SHARED TOKENS (8): "capacity", "facility", "idaho", "important", "land", "largest", "major", "manufacturing".
0.140
boisegovernmentidahomainnearlysecondseparate
SHARED TOKENS (7): "boise", "government", "idaho", "main", "nearly", "second", "separate".
0.140
applicationdecisionsdesignedmakesnetworksystemsystems
SHARED TOKENS (7): "application", "decisions", "designed", "makes", "network", "system", "systems".
0.140
commerceindustrialnationalnistphysicalprogramstechnology
SHARED TOKENS (7): "commerce", "industrial", "national", "nist", "physical", "programs", "technology".
0.140
artificialdeepdesignedintelligencenetworksspecializedsystem
SHARED TOKENS (7): "artificial", "deep", "designed", "intelligence", "networks", "specialized", "system".
0.140
controldescribesgovernmentinvestmentoperationsspecificallytherefore
SHARED TOKENS (7): "control", "describes", "government", "investment", "operations", "specifically", "therefore".
0.140
Chip shortage ↗ Q5101565 KW CROSS HIGH
availabilitychipchipsdemandindustrysemiconductorsupply
SHARED TOKENS (7): "availability", "chip", "chips", "demand", "industry", "semiconductor", "supply".
0.120
Nampa, Idaho ↗ Q622633 KW CROSS HIGH
boisefootprintidahomeaningsecondwestern
SHARED TOKENS (6): "boise", "footprint", "idaho", "meaning", "second", "western".
0.120
eitherhigh-speedindustrialphysicalprocesssource
SHARED TOKENS (6): "either", "high-speed", "industrial", "physical", "process", "source".
0.120
electricalfinalphysicalsemiconductorsupportingsupports
SHARED TOKENS (6): "electrical", "final", "physical", "semiconductor", "supporting", "supports".
0.120
currentdescribesdigitalmeaningsignalssystems
SHARED TOKENS (6): "current", "describes", "digital", "meaning", "signals", "systems".
0.100
Eco-tariff ↗ Q3039667 KW CROSS HIGH
environmentenvironmentalfootprintlargetype
SHARED TOKENS (5): "environment", "environmental", "footprint", "large", "type".
0.100
centercontrolmonitoringnetworkoperations
SHARED TOKENS (5): "center", "control", "monitoring", "network", "operations".
0.100
largestmanufacturermarketsemiconductorsupplier
SHARED TOKENS (5): "largest", "manufacturer", "market", "semiconductor", "supplier".
0.100
forcesindustrymanufacturingprocesssemiconductor
SHARED TOKENS (5): "forces", "industry", "manufacturing", "process", "semiconductor".
◈ Provenance Chain · refinery-treasurevalley-v1.0.0
Data Center × Semiconductor 8 QID bridges 158 edges 4,123 ext links 2026-07-17 20:20:09 UTC 92a6646d5a4d0d58
Data Center corridor ↗ Semiconductor corridor ↗ Semiconductor × Data Center ↗ boisestandard.org/standard ↗
Parent Corridors
Data Center × All Other Verticals