Schneider Electrical, a contributor within the digital transformation of vitality administration and automation, has introduced new reference designs developed with NVIDIA that speed up time to deployment and assist operators as they undertake AI-ready infrastructure options.
The first reference design delivers the trade’s first and solely vital framework for built-in energy administration and liquid cooling management techniques, together with Motivair by Schneider Electrical liquid cooling applied sciences and permits seamless administration of advanced AI infrastructure parts. It contains interoperability with NVIDIA Mission Management, NVIDIA’s AI manufacturing unit operations and orchestration software program, together with cluster and workload administration options. The management techniques reference design may also be utilised with Schneider Electrical’s information centre reference designs for NVIDIA Grace Blackwell techniques, enabling operators to maintain tempo with the newest developments in accelerated computing, with seamless management of their energy and liquid cooling techniques.
The second reference design focuses on the deployment of AI infrastructure for AI factories of as much as 142 kW per rack, particularly NVIDIA GB300 NVL72 racks, in a single information corridor. Created to offer a framework for the next-generation NVIDIA Blackwell Extremely structure, the reference design contains info on 4 technical areas: facility energy, facility cooling, IT house and lifecycle software program. The design is on the market beneath configurations for each the American Nationwide Requirements Institute (ANSI) and the Worldwide Electrotechnical Fee (IEC) requirements.
The primary controls reference design may also be utilised with Schneider Electrical’s information centre reference designs for NVIDIA Grace Blackwell techniques, enabling operators to maintain tempo with the newest developments in accelerated computing, whereas having seamless management of their energy and liquid cooling techniques.
Engineered to maneuver at tempo
As AI advances, at this time’s information centre operators depend on reference design frameworks to beat the pace and deployment challenges of high-density, GPU-accelerated AI clusters. By offering validated, confirmed, and documented information centre bodily infrastructure designs, Schneider Electrical permits operators globally to design and incorporate next-generation energy and liquid cooling controls infrastructure earlier than the latest AI infrastructure options even arrive, whereas optimising for value, effectivity and reliability. Schneider Electrical’s totally engineered reference designs are laying the muse for the newest AI factories, empowering information centre operators to not solely meet the second however to be prepared earlier than it even occurs.
“Schneider Electrical is streamlining the method of designing, deploying and working superior AI infrastructure with its new reference designs,” mentioned Jim Simonelli, the senior vice chairman and chief know-how officer at Schneider Electrical. “Our newest reference designs, that includes built-in energy administration and liquid cooling controls, are future-ready, scalable and co-engineered with NVIDIA for real-world functions, enabling information centre operators to maintain tempo with surging demand for AI.”
“We’re coming into a brand new period of accelerated computing, the place built-in intelligence throughout energy, cooling and operations will redefine information centre architectures,” mentioned Scott Wallace, Director of Information Centre Engineering at NVIDIA. “With its newest controls reference design, Schneider Electrical connects vital infrastructure information with NVIDIA Mission Management, delivering a rigorously validated blueprint that permits AI manufacturing unit digital twins and empowers operators to optimise superior accelerated computing infrastructure.”
‘Plug-and-play’ end-to-end controls system
The controls reference design connects edge units and facility controls for vitality administration and liquid cooling throughout NVIDIA GB300 NVL72 and NVIDIA GB200 NVL72 deployments utilizing NVIDIA Mission Management. Utilizing a “plug-and-play” structure based mostly on the MQTT protocol, it bridges operational know-how (OT) infrastructure and data know-how (IT) techniques, permitting operators to, for the primary time, harness information from each layer to optimise efficiency.
With a concentrate on seamless interoperability between constructing and AI infrastructure administration software program, the controls reference design establishes redundant techniques for energy and cooling, and introduces new steering for measuring AI rack energy profiles. Finally, it ensures the very best requirements of uptime, reliability and peak efficiency for AI deployments by enabling exact, real-time administration of vital energy and cooling sources.
The result’s an end-to-end controls system that gives:
- A standardised format interface publishing energy administration and liquid cooling controls information for consumption by native functions and upstream information customers, and instruments, together with AI infrastructure administration software program, digital twins, AI/ML and different enterprise techniques.
- The controls structure is designed to handle redundancy throughout cooling and energy distribution infrastructure, together with coolant distribution items (CDUs) and distant energy panels (RPPs), guaranteeing resiliency in each white and gray house environments.
- New steering for measuring AI rack energy profiles, with a concentrate on rack peak energy and energy high quality monitoring.
NVIDIA GB300 NVL72 reference design for high-density AI clusters
Schneider Electrical’s reference design for NVIDIA GB300 NVL72 helps the deployment of NVIDIA GB300 NVL72-based clusters with a most rack density of 142kW, similar to NVIDIA DGX SuperPOD with DGX GB300 techniques. The info corridor is purpose-built and optimised to host three NVIDIA GB300 NVL72- based mostly clusters powered by as much as 1,152 GPUs utilizing liquid-to-liquid CDUs and excessive temperature chillers.
The reference design additionally contains Schneider Electrical’s ETAP and EcoStruxure IT Design CFD fashions, permitting customers to make use of digital twins to simulate particular energy and cooling eventualities to optimise designs on distinctive functions. It builds upon a earlier blueprint for the NVIDIA GB200 NVL72 as Schneider Electrical continues to collaborate with NVIDIA to offer totally engineered, examined fashions in anticipation of the brand new NVIDIA GB300 NVL72 platform.
The reference designs introduced at this time proceed Schneider Electrical’s long-established collaboration with NVIDIA to fulfill the information centre trade’s most urgent AI calls for. Along with these new reference designs, Schneider Electrical has developed 9 AI reference designs for varied eventualities together with prefabricated modules, retrofit information centres, and AI infrastructure purpose-built for NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72-based clusters.
Schneider Electrical additionally applies complete, real-world engineering to every of its reference designs, demonstrating a steady dedication to growing the trade’s most superior, energy-efficient, and resilient high-performance information centre architectures. For extra details about its reference designs co-engineered with NVIDIA, go to se.com/data-centres-and-networks/reference-designs.
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