Nvidia’s Grace Hopper Superchips for generative AI enter full production
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Nvidia announced that the Nvidia GH200 Grace Hopper Superchip is in full production, set to power systems that run complex AI programs.
Also targeted and high-performance computing (HPC) workloads, the GH200-powered systems join more than 400 system configurations based on Nvidia’s latest CPU and GPU architectures — including Nvidia Grace, Nvidia Hopper and Nvidia Ada Lovelace — created to help meet the surging demand for generative AI.
At the Computex trade show in Taiwan, Nvidia 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 — or seven times higher bandwidth than the standard PCIe Gen5 lanes found in traditional accelerated systems, providing incredible compute capability to address the most demanding generative AI and HPC applications.
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“Generative AI is rapidly transforming businesses, unlocking new opportunities and accelerating discovery in healthcare, finance, business services and many more industries,” said Ian Buck, vice president of accelerated computing at Nvidia, in a statement. “With Grace Hopper Superchips in full production, manufacturers worldwide will soon provide the accelerated infrastructure enterprises need to build and deploy generative AI applications
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