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This article focuses on how NVIDIA's DSX technology and Emerald AI's Conductor platform enable large-scale AI factories to dynamically adjust power consumption in response to grid signals without disrupting critical workloads. By treating AI data centers as dispatchable resources, this development allows for up to 40% more GPU capacity within existing power budgets while enhancing overall grid stability.

Sources coveringQuantum Zeitgeist, TechCrunch, SiliconANGLE

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NVIDIA DSX cuts AI factory power use on demand for Silicon Valley Power

Quantum ZeitgeistSeptember 16, 20265 min read

NVIDIA DSX helps AI factories optimize power consumption, like when Silicon Valley Power recently signaled a facility to reduce demand without impacting critical workloads.

On a sweltering August evening in Silicon Valley, Silicon Valley Power successfully signaled an AI factory to adjust its power consumption, a first-of-its-kind interaction with a large-scale AI workload. Silicon Valley Power has since sent more than 200 demand signals, including the initial test signal, each successfully adjusting power without interrupting critical operations. Emerald AI’s Conductor platform, an NVIDIA partner’s grid-orchestration technology, facilitated these adjustments across thousands of NVIDIA GPUs without manual intervention. “We were watching with bated breath,” said Varun Sivaram of Emerald AI, “It was our first time deploying across thousands of NVIDIA GPUs.” NVIDIA’s projections indicate DSX MaxLPS can enable up to 40%…

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