Global Companies Leverage NVIDIA DSX to Overcome Power Infrastructure Challenges
- Published
- Source
- NvidiaNews
Companies worldwide are utilizing the NVIDIA DSX AI Factory Platform to integrate grid and factory systems, addressing significant power bottlenecks. With over $300 billion in equipment backlog and more than 200 gigawatts of projects pending in U.S. interconnection queues, the need for cohesive infrastructure is critical. Siloed systems have historically hindered efficiency, but NVIDIA DSX aims to unify these components, enhancing reliability and sustainability.
The collaboration between NVIDIA and industry leaders like GE Vernova, Hitachi Energy, and Siemens Energy is pivotal in transforming power constraints into competitive advantages. GE Vernova is enhancing NVIDIA DSX systems with its expertise in grid-to-facility power management, while Hitachi Energy's battery storage solutions are now NVIDIA DSX Ready, ensuring compliance with reference architecture for AI factories. Schneider Electric and AVEVA are also advancing the platform by integrating validated power and cooling architectures, optimizing data center operations.
Looking ahead, organizations are encouraged to explore the NVIDIA Omniverse DSX Blueprint and the Vera Rubin DSX AI Factory Reference Design. No further timeline was disclosed at the time of publication, but the ongoing collaboration among these companies signifies a strong commitment to enhancing grid infrastructure and maximizing energy efficiency in AI-driven environments.
Original report
How Companies Are Using NVIDIA DSX to Break the Power Bottleneck
NvidiaNews · NVIDIAThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
NVIDIA Robotics
United States
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israel
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Hitachi, Ltd. 日立制作所
Japan
Tokyo industrial and IT group behind the EMIEW wheeled humanoids, which also runs robotic-line integrators JR Automation, Hitachi Automation and Kyoto Robotics.
Nscale
United Kingdom
London-based Nscale runs a full-stack AI/GPU cloud platform and on Aug 1, 2026 agreed to acquire Anyscale for $1.65 billion.
Wetour Robotics Limited
United States
Austin, Texas physical AI company (NASDAQ: WETO) rebranded from Webus International in March 2026; builds the Orchestra wearable-robotics platform.
Infravision, Inc.
United States
Austin-area firm whose TX System of drones, puller-tensioners and stringing hardware installs power lines up to 765 kV without helicopters.
GLroad 格蓝若
China
Wuhan-based humanoid robot developer; Laborer-1 carries 40-60 kg loads for industrial and power infrastructure maintenance tasks.
Hangzhou Shenhao Technology Co., Ltd. 杭州申昊科技股份有限公司
China
Shenhao Technology is a Hangzhou-listed maker of underwater, ground, aerial and quadruped inspection robots for the electric-power sector.
Beijing Sifang Automation 北京四方继保自动化股份有限公司
China
Beijing power-automation maker founded 1994 by Yang Qixun; listed on the Shanghai Stock Exchange (601126) with over 4,000 employees.
Prismecs
United States
US global EPC and engineering solutions provider for power generation and energy infrastructure, with 1,500+ MW installed across 15+ countries since 2016.
Huihang Digital 慧航（江西）数字科技有限公司
China
Jiangxi-based BIM and digital twin software provider offering a lightweight 3D BIM cloud platform for construction.
Twinsity
Germany
Kassel, Germany software company founded 2020; its TWINSPECT platform turns drone imagery into AI-analyzed digital twins for infrastructure inspection.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
