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Google, NVIDIA, Emerald AI launch AEMA with 18 members

Google, NVIDIA, Emerald AI launch AEMA with 18 members

3 Key Points

  1. What happened

    Emerald AI, Google and NVIDIA founded the AI Energy Management Alliance (AEMA), launching with 18 members including Anthropic, National Grid, AES and NRG. It wants data centers that flexibly cut power use to get faster grid connections.

  2. Why it matters

    Flexible data centers could connect to the grid sooner, according to the founders' premise. In exchange, they would ease strain during peak hours and protect affordability for the communities hosting them.

  3. What to watch

    The outcome hinges on whether state and federal regulators adopt rules rewarding flexibility, as FERC and Texas's grid operator are considering. Watch the Virginia power-flexible AI factory launch later this year.

WHO IT HITSData center developers waiting years for grid connections gain a path to faster power if they commit to flexibility. Utility regulators and grid operators face pressure to write rules rewarding that behavior.

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Context & Analysis

Varun Sivaram founded Emerald AI after a conversation with the president of one of America's largest public power utilities, who worried that data centers lining up to connect to the grid each wanted electricity delivered immediately on an expensive grid overbuilt to guarantee around-the-clock power. He described utilities and communities as being asked to serve as "foot soldiers" of the AI buildout; Sivaram's counter-idea was that data centers could serve as foot soldiers in their own way.

The new alliance argues that flexibility is the missing piece. Today, a new U.S. data center can wait a decade or more for a grid connection, because utilities must have enough capacity to serve everyone at peak demand, including on sweltering afternoons when air conditioners run full tilt. The grid is only 50% utilized on average. If AI data centers were just moderately flexible during the grid's worst hours of the year, the article states America could unlock 100GW on the existing grid for flexible data centers.

Sivaram points to early proof. Google runs a nationwide demand-response portfolio of roughly a gigawatt. Emerald AI and NVIDIA have completed six global demonstrations of flexible data centers. Later this year in Virginia, NVIDIA, Digital Realty and Emerald AI will turn on the world's first power-flexible AI factory at nearly 100 megawatts, designed to prove that a data center can be a precise, controllable load instead of drawing constant power around the clock. Regulators are already moving: in June, the Federal Energy Regulatory Commission directed the six regional grid operators it oversees to make room for large customers willing to limit their draw in return for faster connections; Texas's grid operator is finalizing rules letting controllable data centers connect sooner; and Silicon Valley Power, a California municipal utility, has launched the nation's first flexible-load interconnection program. The stakes hinge on whether state capitals and Washington adopt the alliance's simple ask — faster, larger connections for data centers that commit to flexibility — and whether those commitments are enforced, a test that will shape both U.S. AI competitiveness and the electricity bills of host communities.

FAQ
Who founded the AI Energy Management Alliance?
Emerald AI, Google and NVIDIA founded AEMA. It launches with 18 member companies including Anthropic, National Grid, AES and NRG.
What does the Alliance want regulators to do?
Its ask is for governors, regulators and federal policymakers to offer data centers that commit to flexibility a faster and larger grid connection, and hold them to it.
What proof exists that data centers can be flexible grid citizens?
Google runs a nationwide demand-response portfolio of roughly a gigawatt. Emerald AI and NVIDIA have completed six global demonstrations, and later this year in Virginia, NVIDIA, Digital Realty and Emerald AI will turn on the world's first power-flexible AI factory at nearly 100 megawatts.

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