NVIDIA’s DSX MaxLPS fits 40% more GPUs in the same power budget

NVIDIA is challenging traditional AI factory design with DSX MaxLPS, a system demonstrated to deploy up to 40% more GPUs within the same power budget, the company says. The approach moves beyond static power provisioning by dynamically reallocating available energy across resources, a capability validated in testing with Kimi K2.5 workloads on NVIDIA GB200 NVL72 systems. This evaluation, conducted at Nscale’s data center in Keflavík, Iceland, used entirely renewable energy, and showed how DSX MaxLPS combines chip, system, and software technologies to maximize AI output within existing infrastructure constraints. NVIDIA’s DSX MaxLPS enabled a 40% increase in deployed GPUs within a fixed power budget during testing, a result achieved by dynamically reallocating energy across resources. The evaluation, conducted jointly with Nscale, demonstrated the ability to operate 192 GPUs, compared to a baseline of 140, while remaining within a provisioned power limit of 264.4 kW. This approach moves beyond traditional static power provisioning, which often leaves capacity unused to accommodate peak demand scenarios. The core of DSX MaxLPS is a control loop combining chip, system, thermal and software technologies, all operating within established land, power and shell constraints. Dynamic Power Software is the control layer, organizing nodes into managed groups with…