NVIDIA Unveils GH200 Grace Hopper Superchip

NVIDIA reports that the NVIDIA GH200 Grace Hopper Superchip is in full production, set to power systems coming online worldwide to run complex artificial intelligence (AI) and high-performance computing workloads.

The GH200-powered systems join more than 400 system configurations powered by  different combinations of NVIDIA’s latest CPU, graphics processing unit and data processing unit architectures—including NVIDIA Grace, NVIDIA Hopper, NVIDIA Ada Lovelace and NVIDIA BlueField—created to help meet demand for generative AI.

At a recent COMPUTEX, NVIDIA founder and CEO Jensen Huang revealed new systems, partners and additional details surrounding the GH200 Grace Hopper Superchip, which brings together the Arm-based NVIDIA Grace CPU and Hopper GPU architectures using NVIDIA NVLink-C2C interconnect technology. This delivers up to 900GB/s total bandwidth, providing compute capability to address demanding generative AI and HPC applications, according to Huang.

“Generative AI is rapidly transforming businesses, unlocking new opportunities and accelerating discovery in healthcare, finance, business services and many more industries,” says Ian Buck, vice president of accelerated computing at NVIDIA. “With Grace Hopper Superchips in full production, manufacturers worldwide will soon provide the accelerated infrastructure enterprises need to build and deploy generative AI applications that leverage their unique proprietary data.”

Global hyperscalers and supercomputing centers in Europe and the US are among several customers that will have access to GH200-powered systems.

Full-Stack Computing 

The coming portfolio of systems accelerated by the NVIDIA Grace, Hopper and Ada Lovelace architectures provides support for the NVIDIA software stack, which includes NVIDIA AI, the NVIDIA Omniverse platform and NVIDIA RTX technology.

NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, offers over 100 frameworks, pretrained models and development tools to streamline development and deployment of production AI, including generative AI, computer vision and speech AI.

The NVIDIA Omniverse development platform for building and operating metaverse applications enables individuals and teams to work across multiple software suites and collaborate in real time in a shared environment. The platform is based on the Universal Scene Description framework, an open, extensible 3D language for virtual worlds.

The NVIDIA RTX platform fuses ray tracing, deep learning and rasterization to fundamentally transform the creative process for content creators and developers with support for tools and application programming interfaces. Applications built on the RTX platform bring real-time photorealistic rendering and AI-enhanced graphics, video and image processing to enable millions of designers and artists to create their best work.

Availability

Systems with GH200 Grace Hopper Superchips are expected to be available beginning later this year.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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