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NVIDIA launches latest supercomputer AI chip – the H200
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NVIDIA has unveiled a more advanced graphics processing unit (GPU), the H200, which is nearly twice as fast as its H100 standalone accelerator. Based on the Hopper architecture, the H200 is a powerful upgrade aimed at accelerating high-performance computing (HPC) and models powering the generative artificial intelligence boom.
A leap in memory performance
NVIDIA has swapped the HBM3 memory for HBM3E, offering a 25% frequency increase. Calling it the AI superchip, the key improvement is its 141 GB memory delivering 4.8 terabytes/second, enhancing performance for generating text, images or predictions, and providing nearly double the capacity and 2.4x more bandwidth than its predecessor, the A100.
“To create intelligence with generative AI and HPC applications, vast amounts of data must be efficiently processed at high speed using large, fast GPU memory,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA. “With NVIDIA H200, the industry’s leading end-to-end AI supercomputing platform just got faster to solve some of the world’s most important challenges.”
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NVIDIA also announced that the HGX H200 is seamlessly compatible with the HGX H100 systems, meaning that the H200 can be used in the systems designed for the H100 chips. It is also available in the NVIDIA GH200 Grace Hopper Superchip with HBM3e, which the company announced in August.
“H100 is now 11 times more performant than A100 on GPT-3 Inference… H200 measured today is 18 times more performant than A100 on the same GPT-3,” added Buck.
NVIDIA also teased in its presentation the next GPU named B100, as could be seen in a slide, which would have a more advanced performance than the H200. The company might unveil B100 by the end of this year.
H200 expected to ship in Q2 2024
The H200 can be used in different types of data centers, such as those located on-premises, in the cloud, in a combination of both called the hybrid cloud and at the edge of a network.
NVIDIA has a network of partner companies that make servers, and these partners, including ASRock Rack, ASUS, Dell Technologies, and others, can enhance their existing systems by integrating the H200. This allows for flexibility in deploying the H200 across various computing environments.
In the coming year, popular cloud service providers like Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure are planning to use H200. This means they will incorporate servers or computing resources powered by the H200 technology into their cloud services.
Additionally, other companies like CoreWeave, Lambda, and Vultr will also be among the early adopters to deploy H200-based instances in their respective cloud offerings.
NVIDIA joined the trillion-dollar valuation club earlier in May, riding on the AI boom. The company is churning profits, with raking in $13.5 billion in the second quarter of 2023.
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