NVIDIA GB200 NVL72 Design Contributions and NVIDIA Spectrum-X to Assist Speed up Subsequent Industrial Revolution
To drive the event of open, environment friendly and scalable information heart applied sciences, NVIDIA at this time introduced that it has contributed foundational parts of its NVIDIA Blackwell accelerated computing platform design to the Open Compute Venture (OCP) and broadened NVIDIA Spectrum-X™ help for OCP requirements.
At this yr’s OCP International Summit, NVIDIA will probably be sharing key parts of the NVIDIA GB200 NVL72 system electro-mechanical design with the OCP group — together with the rack structure, compute and change tray mechanicals, liquid-cooling and thermal setting specs, and NVIDIA NVLink™ cable cartridge volumetrics — to help greater compute density and networking bandwidth.
NVIDIA has already made a number of official contributions to OCP throughout a number of {hardware} generations, together with its NVIDIA HGX™ H100 baseboard design specification, to assist present the ecosystem with a wider selection of choices from the world’s laptop makers and develop the adoption of AI.
As well as, expanded NVIDIA Spectrum-X Ethernet networking platform alignment with OCP Neighborhood-developed specs allows corporations to unlock the efficiency potential of AI factories deploying OCP-recognized tools whereas preserving their investments and sustaining software program consistency.
“Constructing on a decade of collaboration with OCP, NVIDIA is working alongside business leaders to form specs and designs that may be broadly adopted throughout your complete information heart,” stated Jensen Huang, founder and CEO of NVIDIA. “By advancing open requirements, we’re serving to organizations worldwide make the most of the complete potential of accelerated computing and create the AI factories of the long run.”
Accelerated Computing Platform for the Subsequent Industrial Revolution
NVIDIA’s accelerated computing platform was designed to energy a brand new period of AI.
GB200 NVL72 is predicated on the NVIDIA MGX™ modular structure, which allows laptop makers to shortly and cost-effectively construct an enormous array of knowledge heart infrastructure designs.
The liquid-cooled system connects 36 NVIDIA Grace™ CPUs and 72 NVIDIA Blackwell GPUs in a rack-scale design. With a 72-GPU NVIDIA NVLink area, it acts as a single, huge GPU and delivers 30x quicker real-time trillion-parameter giant language mannequin inference than the NVIDIA H100 Tensor Core GPU.
The NVIDIA Spectrum-X Ethernet networking platform, which now contains the next-generation NVIDIA ConnectX-8 SuperNIC™, helps OCP’s Swap Abstraction Interface (SAI) and Software program for Open Networking within the Cloud (SONiC) requirements. This enables clients to make use of Spectrum-X’s adaptive routing and telemetry-based congestion management to speed up Ethernet efficiency for scale-out AI infrastructure.
ConnectX-8 SuperNICs characteristic accelerated networking at speeds of as much as 800Gb/s and programmable packet processing engines optimized for massive-scale AI workloads. ConnectX-8 SuperNICs for OCP 3.0 will probably be out there subsequent yr, equipping organizations to construct extremely versatile networks.
Vital Infrastructure for Information Facilities
Because the world transitions from general-purpose to accelerated and AI computing, information heart infrastructure is changing into more and more advanced. To simplify the event course of, NVIDIA is working carefully with 40+ international electronics makers that present key elements to create AI factories.
Moreover, a broad array of companions are innovating and constructing on high of the Blackwell platform, together with Meta, which plans to contribute its Catalina AI rack structure primarily based on GB200 NVL72 to OCP. This supplies laptop makers with versatile choices to construct excessive compute density techniques and meet the rising efficiency and vitality effectivity wants of knowledge facilities.
“NVIDIA has been a big contributor to open computing requirements for years, together with their high-performance computing platform that has been the muse of our Grand Teton server for the previous two years,” stated Yee Jiun Track, vice chairman of engineering at Meta. “As we progress to fulfill the growing computational calls for of large-scale synthetic intelligence, NVIDIA’s newest contributions in rack design and modular structure will assist velocity up the event and implementation of AI infrastructure throughout the business.”
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