NVIDIA DSX Sim and SimReady assets from leading energy manufacturers let engineers simulate the grid, substation and AI factory together, validating generators, switchgear, power systems and cooling before breaking ground.
NVIDIA DSX Flex syncs AI factory demand with grid conditions and onsite generation, turning AI factories from static loads into flexible grid assets.
NVIDIA DSX MaxLPS and DSX Exchange squeeze more compute from every watt and securely share signals across compute, networking, energy, cooling and operations.
GE Vernova is deploying its grid-to-facility and rack power expertise to complement NVIDIA DSX systems, enabling customers to transform power constraints into competitive advantages while maximizing compute and token output, sustainability and grid reliability.
Hitachi Energy ’s battery energy storage system has qualified as NVIDIA DSX Ready , helping customers identify power infrastructure that meets applicable NVIDIA DSX reference architecture design requirements for resilient, reliable and scalable AI factories.
Schneider Electric , together with AVEVA and ETAP, is advancing NVIDIA DSX with validated NVIDIA Vera Rubin power and cooling reference architectures and an NVIDIA Omniverse -powered AI factory digital twin.
Combining AVEVA ’s engineering software expertise with NVIDIA SimReady assets, OpenUSD and Omniverse enables connecting simulations, real-time operational data and AI-driven optimization across AVEVA, Schneider Electric and third-party solutions. Together, these capabilities help organizations design, simulate, operate and optimize data centers across their lifecycle, improving energy efficiency and workload performance while accelerating time to token.
Siemens Energy is expanding its collaboration with NVIDIA by developing a reference design for resilient, scalable and grid-aware power infrastructure across power generation, transmission and distribution. This design is aligned with the requirements of the NVIDIA DSX Vera Rubin AI factory design. The company is also exploring usingNVIDIA technologies such as RAPIDS, Metropolis and Isaac Sim for its Noedra digital twin platform, evaluating how the technologies could enhance grid infrastructure monitoring, identify emerging risks and support unplanned outage prevention.
Phaidra integrated DSX Flex, DSX Max-Q and DSX Exchange into its self-learning agents, optimizing cooling and power allocation to maximize tokens per watt, improve grid flexibility and deliver about 10% more compute within the same power envelope.
Emerald AI integrated its Conductor platform into DSX Flex to help utilities tap underused grid capacity, an approach modeled to unlock up to 100 gigawatts on the existing U.S. grid.
Explore the NVIDIA Omniverse DSX Blueprint and the Vera Rubin DSX AI Factory Reference Design . Learn more from NVIDIA and energy leaders who are accelerating power-flexible AI factories to strengthen the grid at GTC Berlin.
Visit Hitachi Energy (booth 7004, hall 7), Schneider Electric (booth 3041, hall 3) and Siemens Energy (booth 3048, hall 3) and tune into sessions with Schneider Electric on Wednesday, Oct. 21: From Grid to AI: Engineering the Future of AI Factories and Energy Intelligence: Powering the AI Era .
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/dsx-power/#primary
- https://blogs.nvidia.com/blog/author/vtroy/
- https://blogs.nvidia.com/blog/dsx-power/#disqus_thread
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Informational only. No financial advice. Do your own research.