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Google, NVIDIA and Emerald AI form an alliance for data centres that can cut their own power when the grid is strained

NVIDIA Blog · event date: 16 September 2026Infra

The AI Energy Management Alliance wants flexible data centres to connect to the grid faster in exchange for a verifiable promise to give power back. A day earlier NVIDIA described what that looks like live: from 4 to 3 megawatts, automatically.

In short
  • The alliance is technology-neutral and measures the service: speed, duration and predictability of the cutback.
  • Silicon Valley Power has sent over 200 signals to an AI factory in Santa Clara, executed every time, per NVIDIA.
  • AEMA does not write the interconnection rules: it offers a common framework and advocates for policies.
Checked on1 October 2026Responsible editorTsvetelin IvanovHow we workMethod · Corrections

An August evening in Santa Clara. Air conditioning is on everywhere, the load spikes, and the local utility sends a signal to a data centre with thousands of GPUs.

About forty people are watching on a video call. Nobody touches anything. Power drops from four megawatts to three, and the important jobs keep running.

The facts: on 16 September 2026 Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance (AEMA), a coalition for data centres that manage their consumption according to grid conditions. The alliance is technology-neutral and cares about the measurable service: how fast, how long and how predictably a facility gives power back and how it behaves in an emergency. Its principles: obligations for staying connected through brief disturbances, for curtailment and for emergency response to be defined before interconnection; standardised requirements and data; a faster path to interconnection for those who make verifiable flexibility commitments; interconnection costs that reflect the real impact on the system. A day earlier, on 15 September, NVIDIA described a case from a working facility: Silicon Valley Power has sent over 200 demand signals to an AI factory in Santa Clara run with Emerald AI's Conductor platform; in the case described, power drops from 4 to 3 megawatts automatically, with no high-priority job stopped. Per NVIDIA, the signal has been met every time, and Conductor responds in under a minute. Cloud provider Lambda reports 24 per cent more tokens within the same power budget using NVIDIA DSX MaxLPS, running 19 servers within the limit that used to hold 16.

The deal underneath

Nobody here cuts power out of the goodness of their heart. The deal is simple: the grid is short, a new line takes years to build, and a facility that promises to give way during peaks can be connected sooner and with more power. Flexibility is the ticket to the queue.

Whoever promises to give way should get in first.

It is elegant and it matters. And still, the alliance is made of three players who profit from more data centres. Interconnection rules are not written by them, and AEMA's principles are a proposal, not a law.

The measure of success will come from outside. It will be the first regulator that grants faster interconnection in exchange for such a promise, and the first hot evening on which that promise is tested in front of everyone.

The visual is generated code art. No third-party images.
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Official primary sources
→NVIDIA Blog - Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers, 16.09.2026→NVIDIA Blog - From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production, 15.09.2026
Original: https://wearecoded.com/en/articles/aema-centrove-za-danni-namalyavat-toka.html
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