Getting your news
Attempting to reconnect
Finding the latest in Climate
Hang in there while we load your news feed
Massachusetts Data Center Intel
3 verified signals across 1 counties tracked daily.
Massachusetts · Construction & power moves · 1
full tracker →Land, power, and interconnection moves across Massachusetts — each traced to primary filings.
Counties
| County | Last 7d | Total |
|---|---|---|
| Hampshire County | 0 | 1 |
Top JUST IN — Massachusetts
-
Abeyance Request and Section 205 Filing: New England Large and Co-Located Loads Show Cause Order (EL26-72)
Source: ISO New England · Jul 16, 2026ISO New England says FERC opened a Section 206 proceeding and preliminarily found ISO-NE’s tariff “unjust, unreasonable, or unduly discriminatory or preferential due to a lack of large and co-located load integration provisions.” ISO-NE and the PTOs plan to seek a 90-day abeyance by August 3, 2026, which would let them file Section 205 tariff changes on November 16, 2026 to address FERC’s five reform categories, including cost transparency, co-location rules, flexible load service, and generation studies.
Backed by 1 primary filing — sign in or book a call to see all sources.
-
ISO-NE System Forecasting Public Webinar – 2026 CELT Overview
Source: ISO New England · Jun 24, 2026ISO New England’s June 24, 2026 public webinar on the 2026 CELT report says large loads, including data centers, are now part of its demand modeling: it added a “large loads forecast,” notes “Data Centers,” and says “Only a few projects in formal study (<300 MW).” ISO-NE also says the near-term impact is “Minimal” before 2027-2028, with a longer-term “~110–130 MW impact to peak demand by 2030s–2040s.”
Backed by 1 primary filing — sign in or book a call to see all sources.
-
Consumer Liaison Group Meeting Summary
Source: ISO New England · Jun 02, 2026ISO New England’s June 2, 2026 Consumer Liaison Group meeting summary says the 2026 CELT forecast now includes “new methodologies to forecast the growth in load driven by data centers,” while noting that “near-term impacts remain relatively modest” and that there is “uncertainty” about future projects (ISO New England). The summary also highlights large-load risks including “infrastructure constraints,” “timing mismatches between load growth and system upgrades,” and “increased reliance on pipeline infrastructure,” and says data-center costs should be borne “primarily by those facilities rather than existing ratepayers” (ISO New England).
Backed by 1 primary filing — sign in or book a call to see all sources.
Recent Massachusetts data center news
-
A nonflammable battery to power a safer, decarbonized future
Alsym Energy has developed nonflammable, nontoxic batteries as alternative to lithium-ion batteries. The technology uses manganese oxide and water-based electrolyte, targeting industrial, utility and data center applications for renewable energy storage.
-
Khara Inc. Moves Archives to Wasabi Hot Cloud Storage for 80% Savings on Operation and Management Costs
Khara Inc. moves archives to Wasabi Hot Cloud Storage for 80% cost savings on management and operation.
-
The utility perspective on equitable ratemaking
State utility regulators investigate equitable ratemaking to protect low-income customers amidst data center growth.
-
With load growth and fear of rising utility bills, are low-income customers protected?
Rising data center demand threatens low-income customers with higher energy bills, requiring protective measures.
-
Startup aims to transform the power grid with superconducting transmission lines
VEIR, founded by Tim Heidel, is revolutionizing power grids with superconducting transmission lines in Woburn, Massachusetts. The technology can carry 5-10 times more power than conventional lines, crucial for expanding transmission capacity in the U.S. and Europe. VEIR aims to deploy high-capacity lines by 2026 to support renewable energy growth and decarbonization efforts.
-
JLL to acquire data center design, engineering services firm SKAE
JLL has announced the acquisition of SKAE Power Solutions, a data center design and engineering services firm, in response to the rising demand for data storage driven by AI and IoT. Founded in 1998, SKAE offers technical services to various industries in the U.S., enhancing JLL’s ability to support clients’ data center solutions.
-
Oracle unveils $10B data center expansion plan
Oracle plans a $10B data center expansion to compete with Google and Amazon. Supply chain issues slow down construction, while demand for data centers grows. Oracle claims to improve project delivery times. Ellison mentions enhancements in building speed. Google and Amazon have ongoing data center projects in various U.S. locations.
-
Oracle unveils $10B data center expansion plan
Oracle is planning a $10 billion data center expansion to compete with Google and Amazon. Despite supply chain challenges, Oracle aims to build data centers more efficiently. CEO Ellison emphasized faster project delivery. Google and Amazon have initiated multiple data center projects across the U.S., facing similar construction hurdles.
-
Startup accelerates progress toward light-speed computing
Lightmatter, co-founded by MIT alumni including Nicholas Harris, pioneers light-based data processing and transfer in chips, aiming to enhance computing efficiency. Their chips, utilizing photons and electrons, target AI operations and data transfer between chips. With a recent $300 million funding, Lightmatter collaborates with major tech companies to reduce energy consumption in AI and data centers.
-
New tools are available to help reduce the energy that AI models devour
The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to reduce energy use in data centers, particularly for AI models. They have found that power-capping hardware and early stopping during AI training can significantly decrease energy consumption without impacting model performance. The LLSC has also created a software that allows data center owners to set power limits on GPUs. They have developed a model for hyperparameter optimization that reduces energy waste, and an optimizer that matches models with the most carbon-efficient mix of hardware for inference. These interventions have the potential to advance the way AI models are trained and decrease energy consumption by 10-20%. The LLSC team is promoting transparency and sustainability in the industry and is collaborating with manufacturers and the U.S. Air Force to implement their energy-saving techniques in other data centers.