NVIDIA Introduces New AI Supercomputer DGX GH200

www.analyticsdrift.com Image source: Analytics Drift Produced by: Sahil Pawar

[{"selector":"#anim-22b18480-a562-4494-861d-11774318dcb6","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-f4d25a24-1f70-48e0-8526-32f5f25db240","keyframes":{"transform":["translate3d(-115.87838%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] The NVIDIA DGX supercomputer, powered by NVIDIA GH200 Grace Hopper Superchips and the NVIDIA NVLink Switch System, was unveiled by NVIDIA today. Image source: NVIDIA

[{"selector":"#anim-8ea5c927-a4c5-4e82-8a9c-0ed4b39e0053","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-2fe6cfb9-aca8-4616-8a62-2bd9251d3b7e","keyframes":{"transform":["translate3d(-115.58442%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] It was designed to support the creation of enormous, next-generation models for generative AI language applications, recommender systems, and data analytics workloads. Image source: Canva

[{"selector":"#anim-5b04912a-f4f6-42c1-86f2-aad375537e48","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-68205475-7051-4d01-afd7-607b9ad8a1cc","keyframes":{"transform":["translate3d(-115.58442%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] The NVIDIA DGX GH200's enormous shared memory area combines 256 GH200 superchips into one GPU using the NVLink connection technology and NVLink Switch System. Image source: NVIDIA

[{"selector":"#anim-c1ec69b5-f729-4506-bf3d-b17148e7e7a5","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b2b7aca0-dc46-4ecd-92b3-f72695444968","keyframes":{"transform":["translate3d(-116.16162%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] This offers 144 terabytes of shared memory and 1 exaflop of performance, which is roughly 500 times more memory than the 2020-released NVIDIA DGX. Image source: Canva

[{"selector":"#anim-0b578a5f-6aca-4484-99a7-e9141aeb0147","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-37c29c6a-8cf1-44cf-9b7d-21b8e7d6b66f","keyframes":{"transform":["translate3d(-116.32654%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Supercomputers powered by the NVIDIA DGX GH200 are anticipated to become available by the end of the year. Image source: Canva Learn more now

Join our WhatsApp Channel Now

Get the latest updates on AI developments. Designed by: Prathamesh Join Now