{"id":176004,"date":"2023-11-14T01:25:05","date_gmt":"2023-11-14T07:25:05","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/11\/nvidia-introduces-the-h200-an-ai-crunching-monster-gpu-that-may-speed-up-chatgpt"},"modified":"2023-11-14T01:25:05","modified_gmt":"2023-11-14T07:25:05","slug":"nvidia-introduces-the-h200-an-ai-crunching-monster-gpu-that-may-speed-up-chatgpt","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/11\/nvidia-introduces-the-h200-an-ai-crunching-monster-gpu-that-may-speed-up-chatgpt","title":{"rendered":"Nvidia introduces the H200, an AI-crunching monster GPU that may speed up ChatGPT"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/nvidia-introduces-the-h200-an-ai-crunching-monster-gpu-that-may-speed-up-chatgpt.jpg\"><\/a><\/p>\n<p>On Monday, Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications. It\u2019s a follow-up of the H100 GPU, released last year and previously Nvidia\u2019s most powerful AI GPU chip. If widely deployed, it could lead to far more powerful AI models\u2014and faster response times for existing ones like ChatGPT\u2014in the near future.<\/p>\n<p>According to experts, lack of computing power (often called \u201ccompute\u201d) has been a major bottleneck of AI progress this past year, hindering deployments of existing AI models and slowing the development of new ones. Shortages of powerful GPUs that accelerate AI models are largely to blame. One way to alleviate the compute bottleneck is to make more chips, but you can also make AI chips more powerful. That second approach may make the H200 an attractive product for cloud providers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On Monday, Nvidia announced the HGX H200 Tensor Core GPU, which utilizes the Hopper architecture to accelerate AI applications. It\u2019s a follow-up of the H100 GPU, released last year and previously Nvidia\u2019s most powerful AI GPU chip. If widely deployed, it could lead to far more powerful AI models\u2014and faster response times for existing ones [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,6],"tags":[],"class_list":["post-176004","post","type-post","status-publish","format-standard","hentry","category-futurism","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/176004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=176004"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/176004\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=176004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=176004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=176004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}