A data center in Holyoke, Massachusetts has demonstrated that AI computing infrastructure can operate sustainably without sacrificing performance or community relations. The Massachusetts Green High Performance Computing Center (MGHPCC), established over a decade ago by a consortium of universities, operates almost entirely on carbon-free power, was built for maximum energy efficiency, and generates minimal environmental disruption. As cities across the country grapple with the energy demands of artificial intelligence, this facility offers a blueprint for what responsible AI infrastructure can look like.

Holyoke recently became the first community in Massachusetts to ban new data centers, yet the city carved out a specific exception for the MGHPCC. The decision reflects a growing tension between communities concerned about the environmental and quality-of-life impacts of massive data centers and the undeniable computing power that AI development requires. The Holyoke facility escaped the backlash that has fueled opposition in other Massachusetts cities like Lowell and Everett, in part because it has proven itself to be a responsible neighbor.

What Makes This Data Center Different from Typical AI Facilities?

The MGHPCC's environmental credentials stem from deliberate choices made at every stage of its design and operation. The facility's founding universities, which now include Harvard, MIT, the UMass system, Northeastern University, Boston University, and Yale, selected Holyoke specifically because approximately 90% of the city's power comes from carbon-free sources such as hydroelectricity, nuclear energy, and solar power. The remaining 10% of energy consumption is offset through carbon credits.

Beyond location, the data center employs sophisticated cooling strategies that minimize energy waste. Cooling typically consumes the largest portion of energy in any data center, as computers must be prevented from overheating during continuous operation. The Holyoke facility allows its server room to reach approximately 80 degrees Fahrenheit, warmer than conventional data centers, which reduces the energy required for air conditioning. Cold water circulates through ducts laid across computer components to draw away heat, then the water is piped to a separate room to be cooled and recycled.

During warmer months, mechanical chillers cool the water, but for roughly eight months per year, New England's outside air provides sufficient cooling without additional energy input. The facility consumes between 20,000 to 30,000 gallons of water per day for this process, comparable to the water usage of a small hotel. The data center is permitted to draw up to 12 megawatts of power from the grid and currently uses less than that amount, sufficient to power approximately 6,000 households. This is substantially smaller than massive AI data centers in other regions, which consume tens to hundreds of times more power.

How to Build Energy-Efficient Data Centers: Key Strategies

• Location Selection: Choose sites with access to abundant carbon-free power sources, such as hydroelectric dams, nuclear plants, or solar farms, to eliminate reliance on fossil fuel-generated electricity.
• Thermal Management: Allow server rooms to operate at higher temperatures than industry standard, use recirculating cold water systems to remove heat efficiently, and leverage outside air for cooling during cooler months to reduce mechanical cooling needs.
• Brownfield Remediation: Build on previously contaminated industrial sites that have been cleaned of hazardous materials, which can reduce environmental impact and revitalize underutilized urban areas.
• Nonprofit Governance: Operate facilities as nonprofits focused on research rather than profit maximization, which can reduce pressure to cut corners on environmental measures and allow for longer-term planning.
• Community Integration: Provide local benefits such as coding programs for residents, make annual payments to host municipalities, and maintain transparent communication about operations to build trust and social license.

The MGHPCC received the highest energy efficiency rating from the U.S. Green Building Council in 2013, and the facility's operators remediated a brownfield site when construction began, cleaning up hazardous materials left behind by a former mill. The data center does maintain backup diesel generators for testing purposes, operated monthly according to federal environmental guidelines.

Why Haven't Other Data Centers Adopted These Practices?

Industry experts acknowledge that the technologies and strategies employed by the Holyoke facility are neither novel nor proprietary. Benjamin Lee, a computer engineer at the University of Pennsylvania who studies sustainability for AI at Google, noted that these approaches represent established best practices in the industry. Large technology companies like Microsoft and Google have been using similar energy efficiency measures for years, though often motivated by cost reduction rather than environmental concerns.

"I can't think of anything, apologetically, that we're doing that's somehow off the charts, 'Wow, nobody ever did that,'" said John Goodhue, executive director of the MGHPCC.

John Goodhue, Executive Director, Massachusetts Green High Performance Computing Center

The barrier to widespread adoption is not technical but economic and competitive. Developers often avoid energy efficiency measures because they require higher upfront capital costs and extend project timelines. In a rapidly expanding AI market where companies fear falling behind competitors, the pressure to build quickly often outweighs long-term savings from reduced operating costs.

"There's this fear of missing out, of not building enough capacity and having someone else get ahead of you in this AI race," explained Benjamin Lee, computer engineer at the University of Pennsylvania.

Benjamin Lee, Computer Engineer, University of Pennsylvania

The MGHPCC avoided this pressure partly because its founding universities were not under the same commercial constraints as private developers. The facility was built at a deliberate pace focused on research needs rather than rapid capacity expansion, allowing decision-makers to prioritize environmental considerations.

What Policy Changes Could Encourage Green Data Centers?

Massachusetts Governor Maura Healey recently signed an executive order requiring that no state agencies permit new data centers without approval from local municipalities. The order also directs state agencies to require developers to follow a framework launched earlier in the summer that calls for developers to "bring your own clean energy" and provide benefits to host communities.

These policy frameworks represent a significant shift in how states approach data center development, empowering local communities to have a voice in siting decisions and establishing environmental standards. However, experts caution that the practical implementation of such policies remains uncertain. Barbara Kates-Garnick, professor of practice in energy policy at Tufts University, noted that while the concepts are sound, success depends on how the details are executed.

"All of these are great concepts. But the devil is in the details," said Barbara Kates-Garnick, professor of practice in energy policy at Tufts University.

Barbara Kates-Garnick, Professor of Practice in Energy Policy, Tufts University

The Holyoke facility's success has not gone unnoticed by city officials. Tessa Murphy-Romboletti, Holyoke City Council President, acknowledged that the MGHPCC has been a good neighbor, contributing to local economic development through job creation, educational programs, and tax payments. The facility's environmental performance, combined with its community benefits, helped it secure an exemption from the city's new data center ban.

As demand for AI computing power continues to surge, with a Lawrence Berkeley National Lab report estimating that AI server demand has tripled over the past decade and is expected to double again by 2028, the question facing policymakers and developers is whether the Holyoke model can be replicated at scale. The answer may depend on whether regulatory pressure and community opposition can overcome the competitive incentives that currently push developers toward faster, less efficient construction.