New Hampshire Data Center Intel

Recent New Hampshire data center news

• Mar 24, 2026

  Superconducting the AI Era: Rethinking Power Delivery for Gigawatt Data Centers

  MetOx CEO Bud Vos outlined the company’s high-temperature superconducting (HTS) approach for moving large amounts of power across gigawatt-scale AI data center campuses on the Data Center Frontier Show podcast (published March 24, 2026).

  • Main announcement/action: Bud Vos (CEO, MetOx) described HTS as a practical alternative to copper for campus and in-hall power delivery, claiming ~10x power density vs copper, the ability to replace dozens of conductors with a few superconducting cables, and that MetOx is “deploying, testing, and then innovating on top of that.” The episode was published on March 24, 2026 on the Data Center Frontier Show podcast.
  • Background and other details: The piece notes HTS requires liquid nitrogen cooling, has utility deployment track records, can reduce physical footprint and permitting impacts, uses ~99% less copper, and aligns with trends in behind-the-meter generation, multi-building campus transmission, and liquid-cooling architectures. No specific contract values or timelines beyond ongoing deployment/testing were provided.
• Mar 23, 2026

  Executive Roundtable: The AI Infrastructure Credibility Test

  Data Center Frontier convened an Executive Roundtable (Q1 2026) to examine how the data center industry can maintain its social license to operate as AI-driven buildout expands.

  • Roundtable and main themes: The panel (Christopher Gorthy of DPR Construction; Miranda Gardiner of iMasons Climate Accord; Miles Whitling of Maddox Industrial Transformer; Mike Connaughton of Leviton Network Solutions) discussed transparency, energy and water stewardship, community engagement, and infrastructure co-investment as core actions to sustain credibility. The discussion highlights specific practices such as recycled-water wheel-wash systems, sourcing materials with reduced embodied carbon, co-investing in substations and transmission upgrades, on-site or data center–owned generation, and adding water as a key vertical in 2026 for iMasons.
  • Context and concrete details: Panelists noted technical and operational measures (efficient cooling, recycled/non-potable water use, optimized electrical systems) and early community engagement before construction. Miranda Gardiner cited a potential $1 trillion in investment in 2026, and iMasons’ 2026 State of the Industry report and program updates were referenced as part of ongoing industry efforts to address power, water, and environmental impacts.
• Mar 20, 2026

  Roundtable: Designing for an Uncertain AI Demand Curve

  Data Center Frontier published an Executive Roundtable (Q1 2026) exploring how developers and suppliers should future-proof power and electrical capacity for rapidly evolving AI demand.

  • Main announcement/action: The roundtable (Q1 2026) convened industry leaders (Christopher Gorthy of DPR Construction, Miranda Gardiner of iMasons Climate Accord, Miles Whitling of Maddox Industrial Transformer, and Mike Connaughton of Leviton Network Solutions) to recommend modular, scalable electrical architectures, early integration of sustainability teams, and policy engagement to avoid overbuilding while accelerating speed-to-market. The discussion emphasized design choices such as substations and distribution systems with clear expansion pathways, space in medium-/low-voltage conduits, staged capacity scaling, and use of microgrids, behind-the-meter generation, and BESS where policy and markets support them.
  • Background and additional details: Panelists highlighted trade-offs between flexibility, cost, schedule, and reliability, urged early engagement with technical experts and utilities, and recommended standardizing specifications and bulk procurement for long-lead equipment (transformers, switchgear) to accelerate delivery. The piece calls for working with policymakers to streamline grid interconnections and referenced emerging regional policies that incentivize storage and distributed generation; this is a published roundtable discussion rather than a single project announcement.
• Mar 18, 2026

  Executive Roundtable: The Coordination Imperative

  Data Center Frontier convened an Executive Roundtable exploring coordination challenges in delivering multi-hundred-megawatt and gigawatt-scale AI data center campuses.

  • Main announcement/action: The roundtable (Q1 2026) with panelists Christopher Gorthy (DPR Construction), Miranda Gardiner (iMasons Climate Accord), Miles Whitling (Maddox Industrial Transformer), and Mike Connaughton (Leviton Network Solutions) examined fragmentation across utilities, suppliers, builders, and operators and recommended concrete practices including early stakeholder collaboration, a single integrated schedule tying owner, vendors, GC, trades and commissioning teams, and consistent two- to three-week look-ahead reviews and onsite coordination to align multi-hundred-megawatt to gigawatt projects.
  • Background and other details: Panelists highlighted moving from commitments to execution on sustainability (renewable procurement, grid interconnections, advanced cooling, heat recovery), the role of hyperscale-led coordination and standards bodies (Open Compute Project, updates to TIA 942), the importance of aligning with financial institutions, insurance, and private equity, and strategies like bringing suppliers into design phase and shifting from transactional bids to strategic supplier partnerships.
• Mar 17, 2026

  Jensen Huang Maps the AI Factory Era at NVIDIA GTC 2026

  Nvidia CEO Jensen Huang announced that AI is entering an infrastructure phase and unveiled hardware, software, and reference architectures to build gigawatt-scale “AI factories” for continuous inference.

  • Main announcement: Nvidia unveiled new infrastructure components including Grace Blackwell NVLink72, Vera Rubin (rack-scale systems with ~3.6 exaflops per rack and 45°C hot-water liquid cooling), the Vera Rubin DSX AI Factory reference architecture and Omniverse DSX digital-twin blueprint, and software layers OpenClaw / Nemo / Nemotron to orchestrate and secure agentic AI systems; Nvidia estimated a $1 trillion AI infrastructure market and cited an industry shift to continuous inference.
  • Details & partners: Nvidia described hybrid architectures integrating Groq accelerators (disaggregated inference via Dynamo orchestration), a production co-packaged optical switch built with TSMC, DSX integrations with partners (Cadence, Dassault Systèmes, Schneider Electric, Siemens, Vertiv, Trane Technologies, Switch) and energy partners (GE Vernova, Siemens Energy, Hitachi Energy, Emerald AI); the keynote also referenced venture funding > $150 billion for AI startups and examples like Nestlé reducing compute costs by 83% on a GPU-accelerated workload.
• Mar 13, 2026

  The Gigawatt Bottleneck: Power Constraints Define AI Data Center Growth

  Bloom Energy has released the 2026 Data Center Power Report finding electricity availability has become a defining boundary on data center expansion.

  • Main announcement: The Bloom Energy 2026 Data Center Power Report concludes electricity availability is now a primary constraint for data center growth; it projects U.S. IT load could rise from ~80 GW (2025) to ~150 GW (2028), and highlights major grid forecast revisions such as ERCOT increasing its 2030 data center demand projection from 29 GW to 77 GW and a possible statewide peak of 218 GW by 2031. The report also states roughly one-third of U.S. data centers may rely entirely on onsite power by 2030 and that ~20% of campuses could exceed 1 GW by 2030, rising to nearly 1 in 3 by 2035.
  • Background and details: The analysis is based on surveys of hyperscalers, colocation providers, utilities, and equipment suppliers through 2025 and documents operational shifts: Texas may exceed 40 GW by 2028 (nearly 30% national share); Georgia market share projected +75% while several legacy markets could lose >50% relative share; utilities and developers show a 1–2 year expectation gap on “time to power”; >70% of developers are evaluating onsite power providers; by 2028, 60% expect higher-voltage busways and 45% expect DC architectures.
• Mar 11, 2026

  Meta’s Expanded MTIA Roadmap Signals a New Phase in AI Data Center Architecture

  Meta has outlined and is deploying its MTIA (Meta Training and Inference Accelerator) program, describing roadmaped chip generations and current production use in its data centers.

  • Main announcement/action: Meta outlined a roadmap for successive generations of MTIA processors and reports that first production deployments are already running in its data centers, supporting ranking and recommendation models that generate trillions of predictions per day. Future generations are expected on an ~18–24 month cadence and aim to increase throughput and efficiency for large-scale inference.
  • Background and details: The engineering blog post and industry reporting detail how MTIA lets Meta shape rack-level power and thermal envelopes, integrate with liquid-to-chip cooling, and apply chip-level power management (power capping, workload throttling) to run racks closer to electrical limits; the article also situates MTIA alongside other hyperscaler chips (Google TPUs, AWS Trainium/Inferentia, Microsoft Maia) and notes hyperscale planning for hundreds of megawatts to gigawatt-scale campuses.
• Mar 10, 2026

  From Real Estate to AI Factories: 7x24 Exchange's Michael Siteman on Power, Politics, and the New Logic of Data Center Development

  Data Center Frontier published a podcast episode featuring Michael Siteman (President, Prodigious Proclivities and longtime 7x24 Exchange leader) discussing how AI demand, power scarcity, network strategy, and local politics are reshaping data center development.

  • Main announcement/action: The episode frames site selection as now a systems engineering challenge driven by power availability, network topology, and political risk; Siteman highlights the rapid market shift toward behind-the-meter/onsite generation (usually gas) — noting attitudes changed from “no grid interconnection, no interest” six months ago to willingness to accept onsite generation in the last 30 days. Also cited: rack densities of 120–150 kilowatts and widespread adoption of liquid-to-chip cooling for AI workloads.
  • Background and details: The conversation documents increased pre-leasing of capacity before building completion (with lenders wary because contracts often include termination rights), the labor shortage (“Data centers don’t run themselves”), and a concrete cost datapoint that one high-performance AI server with GPUs and storage can cost over half a million dollars; examples include an island-powered site relying entirely on onsite generation where fiber is ~1,000 feet away.
• Mar 5, 2026

  OpenAI and the Rise of the Multi-Cloud AI Factory

  OpenAI is deepening infrastructure partnerships with AWS to deploy large-scale Trainium capacity and pursuing multi-cloud compute strategies, with reports of very large cloud commitments and potential strategic investments.

  • Main announcement: OpenAI is expanding its infrastructure footprint with AWS, planning to deploy as much as 2 GW of Trainium-based AI compute capacity under an expanded long-term cloud agreement; reporting also suggests the AWS–OpenAI contract could grow by as much as $100 billion in cloud consumption commitments and include a potential $50 billion Amazon investment (reported). These are reported/plausible terms presented as industry reporting rather than a formal OpenAI press release.
  • Background and details: The article synthesizes reporting and analysis: it highlights multi-cloud strategies (Azure + AWS + specialized providers), continued centrality of Nvidia GPUs (and architectures like Vera Rubin), involvement of capital providers such as SoftBank, and mentions other infrastructure partners like Oracle Cloud and CoreWeave; it frames the shift as a transition to gigawatt-scale AI infrastructure and discusses governance questions tied to OpenAI’s nonprofit/for-profit structure.
• Mar 3, 2026

  Powering AI When the Grid Can’t: Inside the New Behind-the-Meter Playbook

  Data Center Frontier hosted a special edition episode of The Data Center Frontier Show (published March 3, 2026) recasting the DCF Trends Summit 2025 session “From Grid to Onsite Powering: Optimizing Energy Behind the Meter for Data Centers.”

  • Main announcement/action: The podcast episode (moderated by Fengrong Li of FTI Consulting) presented a panel discussion with Siemens Energy, Oklo, AlphaStruxure, and ECL that framed behind-the-meter power as critical-path infrastructure for AI deployments rather than contingency capacity; key points include modular phased power blocks (Oklo’s 75-megawatt increments), the need for fast-response buffering technologies (batteries, flywheels, supercapacitors), and the centrality of long-term offtake, capacity reservations, and credit support to unlock equipment and fuel supply.

    • Date: March 3, 2026.
    • Format/location: Podcast episode / online (recap of DCF Trends Summit 2025 session).

  • Background and details: The panel highlighted concrete operational constraints driving onsite power: multi-year utility interconnection delays (“five, ten, even ten-plus years”), urban fuel logistics limits (natural gas pressure, hydrogen delivery scaling), and variability from AI workloads requiring modularity and capital-backed contract structures (capacity reservation deposits, prepayments, offtake commitments) to move projects from planning to execution.