US Data Center News & Briefings
Power, grid, permits & projects across every US county — verified, cited, updated daily.
MA · State profile

Massachusetts Data Center Intel

Latest data center news, projects, power and policy across Massachusetts — updated daily.

Recent Massachusetts data center news

  • Storion Energy Appoints Sue Ozdemir as Chief Executive Officer

    Storion Energy announced the appointment of Sue Ozdemir as Chief Executive Officer.

    • Main announcement: Sue Ozdemir named CEO to lead commercialization and rapid scale-up of domestically produced vanadium electrolyte and power assembly stacks for Vanadium Redox Flow Battery (VRFB) solutions, targeting increased long-duration energy storage needs for data centers and AI industries in the U.S.; quoted endorsement from Mike Judd (Chairman of the Board, Storion Energy; CEO & President, Stryten Energy).
    • Background and details: Storion Energy is a joint venture between Stryten Energy LLC and Largo Clean Energy Corp. (a subsidiary of Largo Inc.) to support scalable domestic vanadium electrolyte production and a vertically integrated supply chain for utility-scale VRFB LDES; company locations in Alpharetta, Georgia and Wilmington, Massachusetts; VRFB solutions provide four or more hours of energy storage. Additional bio/background: Ozdemir previously served as CEO of Exro Technologies, Wolong Electric America / GE Motor Division, and GE Power Conversion; holds an Executive MBA from the University of Fredericton and was named a 2025 Canada Clean50 Honoree.
  • Storion Energy Appoints Sue Ozdemir as Chief Executive Officer

    Storion Energy has announced the appointment of Sue Ozdemir as Chief Executive Officer.

    • Main announcement: Storion Energy appointed Sue Ozdemir as CEO to lead efforts to rapidly scale domestic production of vanadium electrolyte and power assembly stacks for Vanadium Redox Flow Batteries (VRFBs), targeting long-duration energy storage demand from data centers and AI industries. The announcement names Mike Judd (Chairman of the Board, and CEO & President of Stryten Energy) as the spokesperson welcoming the appointment.
    • Background & details: Storion Energy is a joint venture between Stryten Energy LLC and Largo Clean Energy Corp. (a Largo Inc. subsidiary) to establish a vertically integrated domestic supply chain for VRFB LDES; facilities are located in Alpharetta, Georgia and Wilmington, Massachusetts. VRFB solutions are described as providing four or more hours of storage; Ozdemir’s prior roles include CEO of Exro Technologies, Wolong Electric America, and GE Power Conversion; she holds an Executive MBA from the University of Fredericton and was named a 2025 Canada Clean50 Honoree.
  • Lincoln Lab unveils the most powerful AI supercomputer at any US university

    MIT Lincoln Laboratory has brought online TX-GAIN, a new AI-optimized supercomputer at the Lincoln Laboratory Supercomputing Center (LLSC), now ranked on the TOP500.

    • Main announcement: TX-GAIN is an LLSC supercomputer optimized for generative AI and high-performance research, powered by more than 600 NVIDIA GPU accelerators, with a reported peak performance of two AI exaflops, and it came online this summer; it supports generative AI, physical simulation, and data analysis for Lincoln Laboratory and MIT campus researchers and federal projects (examples: FAA collision-avoidance simulation, DoD autonomous navigation).
    • Background & implementation details: The LLSC emphasizes interactive supercomputing and houses systems in an energy-efficient data center in Holyoke, Massachusetts; LLSC teams are researching the energy needs of AI and have developed software that can reduce AI training energy by as much as 80%. Collaborations include Haystack Observatory, Center for Quantum Engineering, Beaver Works, and the Department of Air Force–MIT AI Accelerator; Rafael Jaimes (Counter–Weapons of Mass Destruction Systems Group) reported TX-GAIN enables modeling far more and larger protein interactions for biological defense efforts.
  • Responding to the climate impact of generative AI

    MIT News explores ways experts at MIT and partner institutions are working to reduce generative AI’s carbon footprint.

    • Main announcement/action: MIT researchers (including MIT Lincoln Laboratory, MITEI, CSAIL, and the FutureTech Research Project) describe and test interventions to cut AI’s operational and embodied carbon through algorithmic efficiency, hardware tuning (e.g., lowering GPU power to ~three-tenths), training-time optimizations (stopping early to avoid last 2–3 percentage points of accuracy), workload scheduling to match renewable supply, long-duration energy storage, and site selection (example: Meta’s Lulea data center in northern Sweden). The article cites IEA and Goldman Sachs projections: ~945 TWh data-center electricity demand by 2030, and an analysis that ~60% of the increased demand could be met by fossil fuels, adding ~220 million tons of CO2.
    • Background and additional details: Researchers developed concepts and tools such as the negaflop (algorithmic savings), MIT/Princeton’s GenX planning tool, and the Net Climate Impact Score; studies show about half the electricity for training is used to gain the final 2–3 percentage points of accuracy, and software/tooling can avoid large fractions of wasted compute (example: avoiding ~80% of wasted training simulations). The article also notes embodied carbon in data-center construction (companies like Meta and Google exploring sustainable materials) and ongoing research into flexible, multi-tenant scheduling and long-duration storage to change the emission mix of data centers.
  • Which tech trends are rising to the top of the business agenda?

    McKinsey senior partners Lareina Yee, Sven Smit, and partner Roger Roberts discussed McKinsey’s research on 13 frontier technology trends on The McKinsey Podcast, focusing on agentic AI, robotics, semiconductors, the energy transition, and digital trust.

    • Main announcement/action: McKinsey leaders outlined concrete examples and early outcomes of agentic AI and automation in business—e.g., a sales use case that delivered an 11% increase in lead generation and conversion—while describing how organizations should onboard, train, and manage digital coworkers; they emphasized robotics examples (Schiphol wheelchair, logistics robots) and noted semiconductor and cooling innovations that reduce data-center power intensity (chips claimed to be ~1,000x more efficient in compute density over recent years).
    • Background and details: The discussion framed the energy transition as a demand challenge driven by AI and rising wealth, noting the need to double energy capacity with a mix of solar, wind, nuclear, storage, and grid build-outs; McKinsey cited rapid mega-installation build rates in China (“almost every week”), supply-chain and infrastructure constraints, and the need to balance speed and affordability in deployment.
  • Commonwealth Fusion Systems Raises $863 Million to Bring Fusion Power to the Grid

    Commonwealth Fusion Systems announced it raised $863 million in a Series B2 round to accelerate commercialization of fusion energy.

    • $863 million Series B2: Proceeds will be used to complete the SPARC demonstration machine under construction in Massachusetts and to continue development of the first grid-scale commercial plant ARC in Chesterfield, Virginia; the company aims to connect ARC to the grid in the early 2030s. CFS was spun out of MIT in 2018 and is collaborating with MIT’s Plasma Science and Fusion Center on SPARC.
    • Partnerships and investors: Strategic partnerships with Dominion Energy and Google (Google agreed to purchase half the ARC plant’s output). New investors include Brevan Howard Macro Venture Fund, Morgan Stanley’s Counterpoint Global, and NVentures (NVIDIA); a consortium of 12 Japanese companies led by Mitsui, Mitsubishi, and the Development Bank of Japan backed the round. Existing backers including Breakthrough Energy Ventures, Google, Eni, and Lowercarbon Capital increased stakes; prior $1.8 billion raise in 2021 brings total funding to nearly $3 billion.
  • Net zero needs AI — five actions to realize its promise

    Nature (author Amy Luers) argues that widespread AI deployment is needed to realise net zero by 2050 and outlines five actions to capture AI’s mitigation potential.

    • Main announcement/action: The article calls for targeted investment and deployment of AI for climate to accelerate decarbonization, citing that AI climate-technology raised US$6 billion in 2024, and urging focus on underfunded areas such as grid integration, materials discovery and carbon removal; it lists five priority actions to realise this potential.
    • Background and details: Key factual points include global temperature in 2024 exceeded 1.5 °C above pre-industrial levels, data centres ≈1.5% of global electricity (IEA), US data centres currently ~4.4% of US electricity and could reach 6.7–12% by 2028, and estimated mitigation potential of 1.4 GtCO2/yr by 2035 (IEA) or 3.2–5.4 GtCO2/yr by 2035 (Stern et al.); the article also documents local resource stresses (water, grid capacity) and technology examples (dynamic line ratings, AI-led materials discovery at MIT).
  • What is a data center?

    McKinsey has announced a detailed analysis and outlook on the rapid growth and investment needs of data centers driven by AI workloads.

    • $6.7 trillion global investment in data centers is projected by 2030, with 70% driven by AI workloads; AI-ready data centers require new infrastructure including power, cooling, and electrical systems.
    • Regional challenges include power supply constraints in the US and Europe, labor shortages, and sustainability demands; opportunities exist for investors, real estate firms, and telecom operators to support data center expansion and clean energy integration.
  • GE Vernova and Crusoe announce major 29-unit aeroderivative gas turbine deal to deliver power to AI data centers

    GE Vernova Inc. announced a deal to deliver 29 LM2500XPRESS aeroderivative gas turbine units to Crusoe AI data centers, providing nearly 1GW of electricity to power AI infrastructure.

    • The order includes 19 units booked in June 2025 and 10 units from December 2024, highlighting GE Vernova’s flexible and efficient power solutions for energy-intensive AI data centers.
    • The LM2500XPRESS units offer rapid ramp-up capability, low emissions with SCR technology, and are engineered for fast installation with 95% factory assembly.
  • GE Vernova Adding 250 New Jobs as Part of Pennsylvania Factory Expansion to Manufacture More Critical Grid Technologies

    GE Vernova is announcing a multi-factory investment and hiring plan in Pennsylvania.

    • Main announcement: GE Vernova will invest up to $100 million in Pennsylvania over the next two years, adding approximately 700 new jobs across multiple factories, including 250 new jobs in Charleroi, PA at its Grid Solutions factory to manufacture high voltage switchgear; this investment is part of a larger $9 billion global capex and R&D plan through 2028.
    • Background and deal details: GE Vernova has secured a full order for seven 7HA.02 gas turbines for the Homer City Energy Campus (previously announced as slot reservations on April 2, 2025, moved to a secured order in 3Q25); Homer City is expected to provide up to 4.4 GW and be completed in 2027, and the Charleroi expansion builds on a $600 million multi-year U.S. manufacturing investment announced in January (originally expected to create 1,500 jobs).

Need Massachusetts-wide diligence on power, zoning, permitting?

Book a 20-min call