From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

NVIDIA Blog · 1 month ago · 18 ● 6 sources

Emerald AI’s Conductor platform on an NVIDIA GPU data center automatically adjusted flexible workloads in response to Silicon Valley Power grid signals, reducing power draw while keeping high-priority AI jobs running. Power dropped from 4 megawatts to 3 megawatts within a minute, and the utility sent more than 200 demand signals that worked every time. NVIDIA’s DSX platform and related tooling are positioned to let AI factories increase token throughput and GPU capacity within fixed megawatt limits using dynamic power allocation and demand-response automation.