Schneider Electric, the person successful the integer translation of vigor absorption and automation, has introduced caller notation designs developed with NVIDIA that importantly accelerate clip to deployment and assistance operators arsenic they follow AI-ready infrastructure solutions.
The archetypal notation plan delivers the industry’s archetypal and lone captious model for integrated powerfulness absorption and liquid cooling power systems, including Motivair by Schneider Electric liquid cooling technologies, and enables seamless absorption of analyzable AI infrastructure components.
It includes interoperability with NVIDIA Mission Control- NVIDIA’s AI mill operations and orchestration software, including clump and workload absorption features.
The power systems notation plan tin besides beryllium utilized with Schneider Electric’s information halfway notation designs for NVIDIA Grace Blackwell systems, enabling operators to support gait with the latest advancements successful accelerated computing, with seamless power of their powerfulness and liquid cooling systems.
The 2nd notation plan focuses connected the deployment of AI infrastructure for AI factories of up to 142 kW per rack, specifically NVIDIA GB300 NVL72 racks, successful a azygous information hall. Created to supply a model for the next-generation NVIDIA Blackwell Ultra architecture, the notation plan includes accusation connected 4 method areas: installation power, installation cooling, IT abstraction and lifecycle software. The plan is disposable nether configurations for some the American National Standards Institute (ANSI) and the International Electrotechnical Commission (IEC) standards.
The archetypal controls notation plan tin besides beryllium utilized with Schneider Electric’s information halfway notation designs for NVIDIA Grace Blackwell systems — enabling operators to support gait with the latest advancements successful accelerated computing, portion having seamless power of their powerfulness and liquid cooling systems.
As AI advances, today’s information halfway operators trust connected notation plan frameworks to flooded the velocity and deployment challenges of high-density, GPU-accelerated AI clusters.
Schneider Electric’s afloat engineered notation designs are laying the instauration for the latest AI factories, empowering information halfway operators to not lone conscionable the infinitesimal but to beryllium acceptable earlier it adjacent happens.
Senior Vice President and Chief Technology Officer astatine Schneider Electric, Jim Simonelli said “Schneider Electric is streamlining the process of designing, deploying, and operating advanced, AI infrastructure with its caller notation designs.
“Our latest notation designs, featuring integrated powerfulness absorption and liquid cooling controls, are future-ready, scalable, and co-engineered with NVIDIA for real-world applications — enabling information halfway operators to support gait with surging request for AI, helium added.”
Director of Data Center Engineering astatine NVIDIA, Scott Wallace said “We are entering a caller epoch of accelerated computing, wherever integrated quality crossed power, cooling and operations volition redefine information halfway architectures.
“With its latest controls notation design, Schneider Electric connects captious infrastructure information with NVIDIA Mission Control, delivering a rigorously validated blueprint that enables AI mill integer twins and empowers operators to optimize precocious accelerated computing infrastructure,” helium added.
The groundbreaking controls notation plan connects borderline devices and installation controls for vigor absorption and liquid cooling crossed NVIDIA GB300 NVL72 and NVIDIA GB200 NVL72 deployments leveraging NVIDIA Mission Control. Using a “plug-and-play” architecture based connected the MQTT protocol, it bridges operational exertion (OT) infrastructure and accusation exertion (IT) systems, allowing operators to, for the archetypal time, harness information from each furniture to optimize performance.

1 month ago
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