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Nvidia’s GH200 Grace Hopper Superchip is now in full production, and is slated to power systems that run complex AI programs, as well as targeted and high-performance computing workloads. The GH200-powered systems join more than 400 configurations created to cater to the surging demand for generative AI. At the recent Computex trade show in Taiwan, Nvidia CEO Jensen Huang revealed new systems, partners, and additional details surrounding the GH200 Grace Hopper Superchip that comprises the Arm-based Nvidia Grace CPU and Hopper GPU architectures. With the Nvidia NVLink-C2C interconnect technology, the chip delivers up to 900GB/s total bandwidth, making it a powerful tool for demanding generative AI and HPC applications.
Sections:
– Nvidia GH200 Grace Hopper Superchip in Full Production
– Partners and Systems
– Applications for Generative AI and HPC
– Nvidia MGX Server Specification Unveiled
– Nvidia DGX GH200: A New Class of Large-Memory AI Supercomputer
– Nvidia Taipei-1: An Advanced Supercomputer
– Conclusion
Nvidia GH200 Grace Hopper Superchip in Full Production
Nvidia announced that its GH200 Grace Hopper Superchip is now in full production. The chip is designed to power complex AI and high-performance computing workloads, and is part of over 400 configurations created to cater to the increasing demand for generative AI.
Partners and Systems
At the recent Computex trade show in Taiwan, Nvidia CEO Jensen Huang revealed new systems, partners, and additional details surrounding the GH200 Grace Hopper Superchip. Nvidia’s global hyperscalers and supercomputing centers in Europe and the U.S. are among the few customers that will have access to GH200-powered systems.
Applications for Generative AI and HPC
The Nvidia GH200 Grace Hopper Superchip is reportedly designed for generative AI and HPC applications. Nvidia’s Ian Buck, VP of accelerated computing, noted that generative AI is rapidly transforming businesses, unlocking new opportunities and accelerating discovery in healthcare, finance, business services, and many more industries.
Nvidia MGX Server Specification Unveiled
Nvidia unveiled the Nvidia MGX Server Specification, a modular reference architecture that provides system manufacturers with over 100 server variations to suit a wide range of AI, high-performance computing, and Omniverse applications. The Nvidia MGX server specification offers flexible and multi-generational compatibility with Nvidia products to ensure that system builders can easily adopt next-generation products without expensive redesigns.
Nvidia DGX GH200: A New Class of Large-Memory AI Supercomputer
Nvidia also announced a new class of large-memory AI supercomputer powered by Nvidia GH200 Grace Hopper Superchips and the Nvidia NVLink Switch System. Created to enable the development of giant, next-generation models for generative AI language applications, recommender systems, and data analytics workloads, the Nvidia DGX GH200’s shared memory uses NVLink interconnect technology with the NVLink Switch System to combine 256 GH200 Superchips.
Nvidia Taipei-1: An Advanced Supercomputer
Lastly, Huang announced that a new supercomputer called Nvidia Taipei-1 will bring more accelerated computing resources to Asia to advance the development of AI and industrial metaverse applications. Taipei-1 will expand the reach of the Nvidia DGX Cloud AI supercomputing service into the region with 64 DGX H100 AI supercomputers. The system will also include 64 Nvidia OVX systems to accelerate local research and development and Nvidia networking to power efficient accelerated computing at any scale.
Conclusion
The Nvidia GH200 Grace Hopper Superchip is a powerful tool, designed to cater to the surging demand for generative AI. As AI continues to transform businesses and unlock new opportunities, the system is designed to provide the accelerated infrastructure needed to build and deploy generative AI applications that leverage proprietary data. Furthermore, with the Nvidia MGX Server Specification, system manufacturers can easily build server variations that suit a wide range of AI, high-performance computing, and Omniverse applications.
FAQs
1. What is the Nvidia GH200 Grace Hopper Superchip, and what is it used for?
The Nvidia GH200 Grace Hopper Superchip is designed to power complex AI and high-performance computing workloads and is invariably part of over 400 configurations created to cater to the increasing demand for generative AI.
2. How does the Nvidia MGX server specification work, and what is it computing technology?
The Nvidia MGX server specification works as a modular reference architecture that provides system manufacturers with over 100 server variations to suit a wide range of AI, high-performance computing, and Omniverse applications. It offers flexible and multi-generational compatibility with Nvidia products to ensure that system builders can easily adopt next-generation products without expensive redesigns.
3. What are the applications of the Nvidia GH200 Grace Hopper Superchip?
The Nvidia GH200 Grace Hopper Superchip is designed for generative AI and HPC applications and can also offer incredible compute capability for addressing the most demanding generative AI and high-performance computing applications.
4. What is Nvidia DGX GH200: A new class of large-memory AI supercomputer?
Nvidia DGX GH200 is a new class of large-memory AI supercomputer created to enable the development of giant next-generation models for generative AI language applications, recommender systems, and data analytics workloads.
5. What is Nvidia Taipei-1: An Advanced Supercomputer?
Nvidia Taipei-1 is a new supercomputer that provides more accelerated computing resources to Asia to advance the development of AI and industrial metaverse applications. The system includes 64 DGX H100 AI supercomputers, 64 Nvidia OVX systems to accelerate local research and development, and Nvidia networking to power efficient accelerated computing at any scale.
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