NVIDIA DSX AI Factory Platform Targets the Power Bottleneck Holding Back AI Infrastructure
Companies around the world are adopting the NVIDIA DSX AI Factory Platform to address one of the biggest challenges facing AI infrastructure: access to power.
The platform is designed to help organizations plan, simulate and operate the electrical grid and AI factory as one connected system, from the substation to the rack.
Power is becoming AI infrastructure’s biggest bottleneck
More than $300 billion in capacity is backed up, while more than 200 gigawatts of projects are waiting in the U.S. interconnection queue.
One root cause of these bottlenecks is the use of siloed systems. Grids, equipment and internal computing infrastructure have traditionally been designed independently. This can create delays, increase risk and contribute to capacity backlogs.
How the NVIDIA DSX AI Factory Platform works
NVIDIA DSX connects grid, power, cooling, computing and operational systems to help organizations design and optimize AI factories throughout their lifecycle.
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NVIDIA DSX Sim and SimReady assets:
Engineers at leading energy manufacturers can simulate grids, substations and AI factories together. This allows them to validate generators, switchgear, power systems and cooling before construction begins. -
NVIDIA DSX Flex:
DSX Flex synchronizes AI factory demand with grid conditions and on-site generation, helping turn an AI factory from a static load into a flexible grid asset. -
NVIDIA DSX MaxLPS and DSX Exchange:
These technologies are designed to help organizations get more computing performance from every watt while securely sharing signals across computing, networking, energy, cooling and operations.
Energy and infrastructure companies support NVIDIA DSX
GE Vernova
GE Vernova contributes grid-to-facility and rack-power expertise to complement NVIDIA DSX systems. The collaboration is intended to help customers address power constraints while maximizing compute and token output, sustainability and grid reliability.
Hitachi Energy
Hitachi Energy’s battery energy storage system has been certified as NVIDIA DSX compatible. This enables customers to identify power infrastructure that meets the design requirements of the NVIDIA DSX Reference Architecture for resilient, reliable and scalable AI factories.
Schneider Electric and AVEVA
Schneider Electric is collaborating with AVEVA and ETAP to promote validated NVIDIA DSX solutions, including the NVIDIA Vera Rubin power and cooling reference architecture and the NVIDIA Omniverse-powered factory digital twin.
AVEVA’s engineering software expertise, combined with NVIDIA SimReady assets, OpenUSD and Omniverse, connects simulation, real-time operational data and AI-driven optimization across AVEVA, Schneider Electric and third-party solutions.
Together, these capabilities are designed to help organizations design, simulate, operate and optimize data centers throughout their lifecycle. The goal is to improve energy efficiency and workload performance while reducing time to token.
Siemens Energy
Siemens Energy is expanding its collaboration with NVIDIA by developing reference designs for resilient, scalable and grid-ready power infrastructure across power generation, transmission and distribution.
The design aligns with the requirements of the NVIDIA DSX Vera Rubin AI Factory design. Siemens Energy is also considering NVIDIA technologies such as RAPIDS, Metropolis and Isaac Sim for its Noedra digital twin platform. The company is evaluating how these technologies could enhance grid infrastructure monitoring, identify new risks and help prevent unplanned outages.
Phaedra
Phaedra integrates DSX Flex, DSX Max-Q and DSX Exchange into a self-learning agent that optimizes cooling and power allocation. The system is designed to maximize tokens per watt, increase grid flexibility and deliver approximately 10% more compute within the same power envelope.
Emerald AI
Emerald AI integrates its Conductor platform with DSX Flex to help utilities use underutilized grid capacity. The approach is modeled on releasing up to 100 gigawatts from the existing U.S. power grid.
Explore the NVIDIA Omniverse DSX Blueprint and Vera Rubin reference design
Learn more about the NVIDIA Omniverse DSX Blueprint and the Vera Rubin DSX AI Factory Reference Design.
Additional information is available in NVIDIA and energy leaders accelerate power-flexible AI factories, which highlights efforts to strengthen the grid for the AI era.
Where to learn more at GTC Berlin
Attendees can visit:
- Hitachi Energy: Booth 7004, Hall 7
- Schneider Electric: Booth 3041, Hall 3
- Siemens Energy: Booth 3048, Hall 3
Schneider Electric will also participate in the Wednesday, October 21 session From grid to AI: Engineering the future of the AI factory.
Another featured session is Energy intelligence: Powering the AI era.
Source: blogs.nvidia.com


