NVIDIA Announces European Ecosystem Adoption of NVIDIA DSX AI Factory Platform

NVIDIA DSX reference designs support closed-loop liquid cooling with dry coolers, reducing facility cooling water consumption to near zero, with potential savings of 54 million liters per day at 2-gigawatt scale.

DSX MaxLPS software can enable generation of the same number of tokens with up to 30% less power; Lambda demonstrated 24% more cluster token throughput and 19% more GPU capacity within a fixed power budget in a proof of concept on NVIDIA HGX B200 systems.

Nscale demonstrated 49% higher inference throughput and 37% more managed GPU capacity within the same 264-kilowatt provisioned power budget across four NVIDIA GB300 NVL72 racks using DSX MaxLPS at its Iceland facility.

DSX Flex aims to coordinate AI factory power demand with grid conditions; a trial with Emerald AI, EPRI, Nebius, the U.K. National Grid and NVIDIA showed reductions of up to 40% in cluster power draw on an NVIDIA Blackwell Ultra GPU cluster during simulated grid events.

NVIDIA launched SimReady Central Library on Hugging Face with validated power and cooling assets to accelerate DSX AI factory digital-twin creation.

NVIDIA is releasing NVIDIA DSX OS open-source components in developer preview, including NVIDIA Config Manager, NVIDIA Rack Management Service and NVIDIA Cluster Readiness Engine, with cloud partners including CoreWeave, Crusoe, G42, Lambda, Nebius and Nscale exploring the latest components.

Industrial partners include AVEVA, Dassault Systèmes, Siemens, ABB, Eaton, GE Vernova, Hitachi Energy, Schneider Electric, Siemens Energy, Trane Technologies and Vertiv supporting design, power, cooling and operations for the European AI factory buildout.