NVIDIA, Google and Emerald AI have launched the AI Energy Management Alliance (AEMA), a coalition focused on helping large data centers adjust their electricity use in response to grid conditions. GridUnity has been selected as a founding board member which works on interconnection and grid planning processes for utilities, transmission providers and regional grid operators, alongside the three founding companies with Frank Lacey the founder of Electric Advisors Consulting LLC to serve as AEMA’s Executive Director.
The AEMA is expected to bring together AI companies, data center operators, infrastructure providers, power producers, utilities, and regional grid operators to develop data centers that can adjust electricity consumption in response to grid conditions. AEMA aims to develop scalable approaches that can be deployed across the U.S. as AI-driven electricity demand grows, putting pressure on utilities to maintain grid reliability while managing the need and cost of new generation and transmission infrastructure as detailed in a NVIDIA blog.
According to a press release, the inaugural members and launch partners of the AEMA include AES, Analog Devices, Anthropic, Calibrant Energy, Camus, ClearPath, Constellation, Encoord, Fluence, Generate Capital, GridUnity, National Grid, NRG, PassKey, RWE, Splight, Verrus, and Voltus.
Senior individuals from the founding companies of AEMA have expressed their optimism and committed to advancing data center power adjustments, and enabling power grid systems efficiency for AI deployment.
Dr. Varun Sivaram, CEO, Emerald AI, said, “The most effective way to accelerate American AI is to make every data center a good citizen of the grid, data centers that flex their power use in response to peak grid stress can connect faster and at far greater scale, while the communities that host them gain a more reliable grid and protection from rising electricity bills. Emerald AI is proud to help found AEMA so the AI buildout strengthens both American competitiveness and the neighborhoods that power it.”
Tyler Norris, Head of Advanced Energy Market Innovation, Google, said, “Google is committed to investing in energy solutions that benefit everyone, and pioneering smarter ways to manage our demand turns data centers into dynamic grid allies that help power systems operate more efficiently and reliably, through AEMA, we look forward to continuing to scale demand flexibility—unlocking essential speed-to-power while protecting affordability for all energy consumers.”
Josh Parker, Head of Sustainability, NVIDIA, said, “The fastest path to reliable, affordable energy is making smarter use of what already exists, even as we build the new infrastructure we need, NVIDIA is joining AEMA to advocate for technology-neutral, performance-based standards that evaluate flexible data centers on measurable grid reliability metrics. The result: faster AI deployment and a more efficient grid, without asking ratepayers to fund new capacity.”
Flexible data centers can respond in several ways, including shifting computing workloads, discharging battery storage, using on-site or paired generation, and reducing electricity consumption during grid emergencies. The approach treats a data center as a controllable electricity resource rather than a fixed load.
This flexibility could also help address limitations in conventional interconnection processes, which typically assume large facilities have relatively steady electricity demand. AI factories are the infrastructure of the intelligence era and scaling them responsibly will depend as much on innovation across the grid as inside the data center.
The alliance’s framework will be technology-neutral and based on measurable performance rather than specific hardware or software. Proposed measures include response speed, the duration of a response, predictability and performance during emergencies.
AEMA also plans to establish requirements for facilities to remain connected during short grid disturbances, reduce electricity consumption when requested and respond to contingencies. It will work on common technical standards, performance metrics and operational data-sharing requirements.
The group intends to address how interconnection costs are allocated which should reflect a facility’s actual effect on the power system, including potential benefits from reducing demand or avoiding grid upgrades. It plans to work with utilities on interconnection processes for data centers that make verifiable commitments to provide flexible electricity demand.