公司如何利用 NVIDIA DSX 打破电瓶

中文版正在随流水线自动整理，稍后刷新即可；可先阅读下方英文原文。

本文由 AI宝盒自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。

Companies around the world are building on the NVIDIA DSX AI Factory Platform to plan, simulate and run the grid and the AI factory as one system, from the substation to the rack. Their adoption of the platform responds to an acute problem.

Power is now the biggest bottleneck in infrastructure. More than $300 billion in equipment is backlogged, and over 200 gigawatts of projects are waiting in U.S. interconnection queues.

One root cause of the bottleneck is siloed systems. The grid, the facility and the compute inside have long been designed independently from one another, creating the conditions for delays, risk and stranded capacity.

To help address this, NVIDIA DSX brings these systems together:

- 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.

Auto-fetched and translated by AI Gem Box. All rights belong to the original author.