Iowa Data Center Intel

Recent Iowa data center news

• Jan 30, 2026

  Top 20 countries by the number of data centers in 2025

  DevelopmentAid publishes an overview of the global data center market, trends, and investment forecasts.

  • Main summary: The article provides a market overview noting the United States leads with 4,165 data centers (about 3,000 more being built/planned) and estimates the sector could reach US$22.7 billion by 2030 driven by generative AI, cloud services, 5G, and IoT. It cites major investment figures including Google >€5.5 billion (US$6.37 billion) in Germany and a €1 billion project involving Nvidia and Deutsche Telekom.
  • Background & details: The piece aggregates third-party reports and data (Statista, Axios, McKinsey, JLL, Datum, Baxtel, Global Data Center Hub) and provides regional details: McKinsey’s US$6.7 trillion capex by 2030 (US$5.2 trillion for AI-optimized facilities, US$1.5 trillion for typical IT), Latin America growth from ~US$5bn (2023) to >US$10bn by 2029, and capacity/footprint statistics for countries and hyperscale operators. It is an informational market overview, not a primary announcement of a single new project with implementation timelines.
• Jan 29, 2026

  Madison, Wis. Joins Growing List of Cities Pausing Data Center Development

  The Madison Common Council has approved a one-year moratorium on new large-scale data center development.

  • Scope & duration: The moratorium applies to new data centers and telecommunications centers larger than 10,000 square feet and will remain in effect for one year; existing facilities and smaller data centers are exempt. The city said the pause will allow staff to review zoning rules, electricity and water use, land use planning, and community benefits before approving additional projects.
  • Implementation & context: Planning Division Director Meagan Tuttle described the moratorium as a planning tool to develop clearer standards as demand for computing power (driven by artificial intelligence and cloud services) grows; the city plans to engage utilities, environmental experts, developers, and policymakers during the moratorium. The article also references similar moratoria in other U.S. jurisdictions (Coweta County, Douglas County, Clarke County, Springfield Township, St. Charles).
• Jan 28, 2026 · IT Brief Asia

  Microsoft unveils Maia 200 AI chip to power inference

  Microsoft has introduced Maia 200, a custom AI accelerator for inference workloads and has begun deploying it in its cloud data centres.

  • Main announcement: Microsoft introduced the Maia 200 accelerator built on a 3-nanometre process from TSMC with more than 140 billion transistors, 216 GB HBM3e (≈7 TB/s throughput), 272 MB on-chip SRAM, a 750-watt TDP, and performance claims of >10 petaFLOPS FP4 and >5 petaFLOPS FP8; Microsoft says it is already operational in U.S. Central (near Des Moines, Iowa) with rollouts planned to U.S. West 3 (Phoenix) and is deployed to accelerate services including Microsoft Foundry, Microsoft 365 Copilot, and OpenAI’s GPT-5.2.
  • Background and details: Microsoft pairs Maia 200 with a two-tier scale-up Ethernet network supporting clusters of up to 6,144 accelerators with ~2.8 TB/s bidirectional bandwidth per unit for scale-up communication; the company is releasing an SDK preview with PyTorch integration, Triton support, optimized kernels, and a low-level programming language, and claims ~30% better performance per dollar for inference vs the latest fleet hardware while positioning FP4/FP8 performance relative to Amazon Trainium v3 and Google TPU v7.
• Jan 27, 2026

  Microsoft launches its second generation AI inference chip, Maia 200

  Microsoft has announced Maia 200, a first-party AI inference accelerator optimized for large reasoning and multimodal models and deployed initially in Microsoft data centers.

  • Main announcement: Microsoft unveiled Maia 200 as a breakthrough inference accelerator claiming 10,145 FP4 teraflops peak and 5,072 FP8 teraflops peak, 216GB HBM, 7 terabits/s HBM bandwidth, produced on a 3nm node, and delivering 30% better performance per dollar versus the company’s latest generation hardware.
  • Context and implementation details: Maia 200 is positioned for heterogeneous, multimodal inference, integrates with Azure, Microsoft Foundry, and Microsoft 365 Copilot, supports OpenAI’s GPT-5.2 family, has a preview SDK (PyTorch integration, Triton compiler, optimized kernel library), and is deployed in US Central (Des Moines) with next rollout to US West 3 (Phoenix); timing for additional regions not disclosed.
• Jan 26, 2026

  Microsoft Unveils Maia 200 In-House Inference Chip

  Microsoft has announced the Maia 200, a new in-house inference accelerator designed for large-scale AI workloads.

  • Main announcement: Microsoft introduced the Maia 200 inference accelerator built on TSMC’s 3nm process, tuned for FP4 and FP8 inference, featuring 217 GB of HBM3e at 7 TB/s, 272 MB on-chip SRAM, native FP8/FP4 tensor cores, and ~140 billion transistors; Microsoft claims >10 PFLOPS FP4, >5 PFLOPS FP8, and ~30% better performance per dollar vs the prior generation. Maia 200 is deployed in Microsoft’s US central data center near Des Moines, Iowa, with US West 3 near Phoenix to follow, integrates with Azure, and includes a preview of Maia’s SDK.
  • Background and details: Microsoft positions Maia for enterprise inference rather than training; the company compared Maia 200 to hyperscaler rivals (claimed 3x FP4 vs Amazon Trainium3 and FP8 performance above Google’s 7th-gen TPU). The article cites an SNS Insider projection of an AI inference market of $349.5 billion by 2032 and includes analyst commentary from Matthew Kimball (Moor Insights & Strategy).
• Jan 26, 2026

  Vanderbilt Report Argues for 'Dig Once' Policies to Reduce Fiber Instillation Costs

  Vanderbilt Policy Accelerator released a report in December recommending strong “dig once” laws to require installation of conduit during any roadway excavation, shifting conduit installation responsibility toward governments to reduce costs and speed fiber deployment.

  • Main recommendation: Require strong “dig once” laws for federally funded road construction so governments install conduit whenever roads are built or repaired; the report cites studies finding 75% to 90% of fiber deployment costs stem from digging up and repairing roadways (Fiber Broadband Association 2024; FHWA 2012).
  • Context and details: The report notes federal legislative attempts were weakened into notification requirements (states notify ISPs when construction occurs); highlights state examples such as Utah (62.5% fiber coverage vs national average 49%) and other states with laws (California, Washington, Illinois, Indiana, Iowa); it references June 2026 BEAD revisions and urges Congress, during 2026 surface transportation reauthorization, to mandate dig once on federally funded projects.
• Jan 26, 2026 · IT Brief Asia

  Microsoft unveils Maia 200 AI chip to cut token costs

  Microsoft has launched Maia 200, an in-house AI inference accelerator, and announced initial deployment in its US Central datacentre with US West 3 to follow.

  • Maia 200 launch and deployment: Microsoft announced Maia 200 built on TSMC’s 3nm process with >140 billion transistors, a 750W TDP, 216GB HBM3e (7TB/s) memory and 272MB on-chip SRAM, delivering >10 petaFLOPS (4-bit) and >5 petaFLOPS (8-bit). Microsoft says Maia 200 is deployed in US Central (near Des Moines, Iowa) and US West 3 (near Phoenix, Arizona) is the next region; the accelerators run Microsoft Superintelligence models and will support GPT-5.2 models from OpenAI, Microsoft Foundry projects and Microsoft 365 Copilot.
  • System, networking and software details: Microsoft described a two-tier, Ethernet-based scale-up network with a custom transport and integrated NIC, 2.8TB/s bidirectional dedicated scale-up bandwidth per accelerator, collective operations across up to 6,144 accelerators, and trays that connect four accelerators via direct links. Microsoft is previewing the Maia SDK (PyTorch integration, Triton compiler, optimized kernel library) and validated designs in a pre-silicon environment and datacentre integration including a second-generation closed-loop liquid cooling Heat Exchanger Unit. Microsoft claims 30% better performance per dollar versus the current fleet and compares Maia 200 performance to Amazon Trainium and Google’s TPU.
• Jan 26, 2026

  Data Center Milestones: From ENIAC to Generative AI

  The article traces the historical evolution of the data center industry from 1946 to the present.

  • The article provides a chronological timeline of milestones: ENIAC (1946) introduced dedicated power and cooling; IBM System/360 (1964) standardized mainframes; Intel 4004 (1971) and the IBM PC (1981) enabled smaller systems and networked demand; the World Wide Web (1989) and dot-com era (2000) expanded server demand; VMware (founded 1998) catalyzed x86 virtualization; AWS EC2 (2006) kicked off the IaaS era and hyperscale buildouts; Docker (2013) popularized containers; edge computing (2017) and COVID-19 (2020) drove distributed demand; ChatGPT (2022) accelerated AI demands; AI data centers (2024) became a distinct class, and neoclouds (2025 onward) target AI-first and specialized cloud services.
  • The article also documents operational and infrastructure trends and concrete examples: it highlights energy efficiency and AI’s staggering energy demands, virtualization’s role in utilization, and a partnership example where Lambda collaborated with Prime Data Centers to deploy high-density NVIDIA AI infrastructure at Prime’s LAX01 AI-ready campus in Vernon, Calif.
• Jan 23, 2026

  Edged US Builds Waterless, High-Density AI Data Center Campuses at Scale

  Edged US has announced recent campus expansions and detailed technical and operational profiles for those campuses.

  • Main announcement: Edged US announced a second 72-MW building at its Chicago/Aurora campus (purpose-built for AI; first facility opened February 2025; second building planned for Q2 2027) and a 24-MW second building in Irving/Dallas (first Dallas facility opened January 2025; second building approved January 15, 2026 and expected to break ground in Q2 2026). The projects emphasize waterless, closed-loop cooling (ThermalWorks; marketed as WUE 0.00), rack-density support (Aurora >200 kW/rack liquid-to-chip; Irving air-cooled >120 kW/rack with liquid-to-chip up to 400 kW/rack), and a portfolio-wide design PUE ~1.15.
  • Background and implementation details: Edged is pursuing a campus-first, repeatable delivery model across U.S. metros (Atlanta, Chicago/Aurora, Columbus/New Albany, Des Moines/Ankeny, Kansas City, Phoenix/Mesa). The company relies on partnerships for electrical and backup generation (notably PowerSecure, subsidiary of Southern Company) and positions ThermalWorks as the technical foundation for waterless cooling; the announcements are presented as executed approvals and planned timelines rather than speculative projections.
• Jan 20, 2026

  Switched Source Expands Grid-Enhancing Technology Deployments by 60%

  Switched Source reported a 60% increase in deployments of its Phase-EQ grid-enhancing technology over the past year, with units now operating across more than 10 utility service areas from Alaska to Florida.

  • Deployment growth & scope: Switched Source reports a 60% increase in deployments year-over-year, with Phase-EQ units operating in more than 10 utility service areas including New York, Alaska, Florida, Georgia, Iowa, Massachusetts, Texas, and Washington state; field data from operational sites shows 10% to 25% increase in load-serving capacity on active distribution circuits.
  • Device function & program support: Phase-EQ is described as the first distribution automation device that balances power flow between the three phases by exchanging real and reactive power; the company was founded in 2016 and the project is supported by the U.S. Department of Energy’s ARPA-E SCALEUP program. A recent Georgia Power deployment is designed to reduce load imbalance by half and voltage imbalance by more than 30%, with the utility supplying substation-level data to track performance.