How can AI factories get more from the power they have while helping keep the grid flexible?
NVIDIA DSX MaxLPS optimizes power within an AI factory's existing budget. At
@nscale, it boosted aggregate inference throughput by 49% without adding provisioned power. NVIDIA DSX Flex lets that same facility respond to the grid.
In a simulated grid-demand event, DSX Flex and MaxLPS together cut GPU power consumption by 25% for 30 minutes.
See how Nscale put dynamic power management to work at its Iceland AI factory ➡️