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How Companies Are Using NVIDIA DSX to Break the Power Bottleneck

Published · Reported by NVIDIA

NVIDIA says a growing group of energy and infrastructure companies is adopting its DSX AI Factory Platform, which treats the electrical grid, the data center facility and its computing hardware as a single system. In a post dated October 21, 2026, timed to GTC Berlin, the company calls power the largest constraint on infrastructure, citing more than $300 billion in backlogged equipment and over 200 gigawatts of projects waiting in U.S. interconnection queues. It blames part of the problem on these systems being designed separately.

The platform includes DSX Sim, for testing the grid, substation and facility virtually before construction; DSX Flex, which aligns AI factory demand with grid conditions and onsite generation; and DSX MaxLPS and DSX Exchange, aimed at extracting more compute per watt and sharing signals across operations.

Partners named include GE Vernova, which is pairing its grid and rack power expertise with DSX, and Hitachi Energy, whose battery storage system has qualified as DSX Ready. Schneider Electric, with AVEVA and ETAP, is advancing validated Vera Rubin power and cooling reference architectures and an Omniverse-based digital twin. Siemens Energy is developing a grid-aware power reference design and exploring NVIDIA tools for its Noedra digital twin platform.

Two smaller companies offered specific figures, as reported by NVIDIA: Phaidra says its agents deliver about 10% more compute within the same power envelope, while Emerald AI's Conductor integration is modeled to unlock up to 100 gigawatts on the existing U.S. grid. That last number is a modeled estimate rather than a demonstrated result, but it shows how flexible demand is being pitched as a response to grid shortages.

2 min recap · This recap was written by an AI model from NVIDIA's reporting and has not been checked by a person. It can contain errors.

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Source: NVIDIA