Arizona Data Center Intel

Recent Arizona data center news

• 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

  Sam Altman-backed Exowatt launches arm to power data centers with clean energy

  Exowatt has launched ExoRise, a business arm to deliver turnkey land and P3 solar + battery energy infrastructure to support large and hyperscale data centers across the U.S. Southwest.

  • Main announcement: Exowatt launched ExoRise to provide turnkey powered land and energy infrastructure (using its modular P3 solar + battery technology that stores energy as heat and converts to electricity on demand) for data centers in New Mexico, west Texas, Arizona, and Nevada; the company said the approach enables behind-the-meter and off-grid deployment and aims to deliver large-scale power without raising local electricity costs.
  • Background and details: Exowatt is Miami-headquartered and backed by Sam Altman and Andreessen Horowitz (a16z); the startup raised $70 million last year to commercialize P3, expects its first ExoRise pilot to come online by the end of the year, and reports a backlog of over 90 gigawatt-hours of signed customer demand.
• 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

  EPA moves toward changing particulate matter standard as manufacturers urge action

  The U.S. Environmental Protection Agency is moving to revisit and ask the court to vacate the Biden-era annual PM2.5 standard of nine micrograms per cubic meter.

  • Main action: The EPA filed a motion in the U.S. Court of Appeals for the District of Columbia Circuit asking the court to vacate the March 2024 PM2.5 annual standard (lowered from 12 µg/m3 to 9 µg/m3). The agency said the Biden EPA took a “regulatory shortcut” and failed to adequately consider compliance costs; EPA urged vacatur before the initial nonattainment determinations due on Feb. 7 and states’ implementation plans due in April.
  • Background and details: Industry groups including NAM and 15 trade associations (e.g., SMA, Aluminum Association, American Cement Association) have pressed the Trump administration to revert the standard; EPA previously estimated the 2024 rule could prevent 4,500 premature deaths and 290,000 lost workdays, with monetized benefits of $22 billion to $46 billion and $590 million in estimated costs by 2032. A 2025 ACA report estimated 1 million metric tons of cement needed for AI data centers by 2028 and projects U.S. data centers rising from 5,426 to 6,000 by 2027.
• 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

  How Hyperscale AI Is Remaking the Power Grid

  Industrial Info Resources (IIR) reported at PowerGen International that the US has approximately $2.4 trillion in AI data center development underway.

  • Key announcement: IIR presented at PowerGen International (Jan. 20-22, 2026) that the US accounts for about $2.4 trillion in AI data center development and that global announced and ongoing data center investment ≈ $3.2 trillion; IIR also reported roughly 296 GW of cumulative planned capacity in the US with more than 70 projects ≥ 1 GW and projected US electricity demand rising from ~23 GW (2023) to ~42 GW (today) and on target to surpass 90 GW by 2030.
  • Details and context: IIR outlined concentration by state (Texas ~$517 billion, Virginia ~$344 billion, Georgia ~$217 billion, Missouri ~$121 billion, Arizona ~$102 billion), noted month-over-month investment velocity (more than $100 billion announced per month over the past year; October 2025 > $350 billion), and described near-term procurement strategies including gas turbines (booked through end of decade), reciprocating engines, BESS, and partnerships on nuclear; timeline compression pressures require many projects to deliver generation and interconnection within 12–24 months.
• 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 22, 2026

  Regulators Keep TEP / Data Center Supply Agreement in Place; County Approvals Face Court Challenge

  The Arizona Corporation Commission said its December 2025 approval of Tucson Electric Power’s Energy Supply Agreement tied to Beale Infrastructure’s proposed data center remains in place after rehearing requests were not granted within the statutory deadline.

  • ACC decision: The ACC’s approval of the special contract (approved December 3, 2025) remains in place because rehearing requests were not granted within 20 days (under Arizona law rehearing is deemed denied after 20 days). The approval included customer protections such as minimum billing requirements, termination-related financial security, and staff findings that the agreement would not harm system reliability or shift costs to other customers.
  • Parallel litigation and challenges: Arizona Attorney General Kris Mayes filed a rehearing request raising oversight and rate-setting concerns; separately, a special action complaint filed Jan. 13, 2026 in Pima County Superior Court (plaintiffs: No Desert Data Center, John “Rye” Whalen, Meri Sias, represented by Hofmeyr Law, PLLC and the Arizona Center for Law in the Public Interest) challenges the April 30, 2025 rezoning vote, alleging Open Meeting Law and insufficient notice, and asks the court to void the rezoning tied to the project.
• Jan 21, 2026

  Silicon Valley’s AI boom is an environmental time bomb

  Tina Landis (Liberation News) publishes an opinion piece arguing that Big Tech’s rapid expansion of AI-driven hyperscale data centers is creating severe, measurable environmental harms in the United States and globally.

  • Main claim & evidence: The article documents hyperscale data center environmental impacts including freshwater use up to five million gallons per day, energy consumption currently equivalent to France, projected growth to the energy use of 1.4 billion people by 2030 (IMF), and that 20 data center proposals worth $98 billion were blocked or delayed between April and June 2025 (Data Center Watch). It also cites a UNEP warning: “We need to make sure the net effect of AI on the planet is positive before we deploy the technology at scale.”
  • Background & supporting details: The piece lists concrete harms across the lifecycle: raw material extraction (800 kg of materials for a 2 kg computer), e-waste exports to the Global South, 5–10% increases in household energy bills, community resistance across multiple U.S. states (Arizona, Wisconsin, Virginia, Oklahoma), and notes Big Tech (Microsoft, Google, Meta, Amazon) is spending collectively hundreds of billions of dollars on data centers while pushing for expanded power infrastructure and nuclear expansion by 2050.