{"id":144429,"date":"2022-08-19T13:24:19","date_gmt":"2022-08-19T18:24:19","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/08\/nvidia-details-grace-hopper-cpu-superchip-design-144-cores-on-4n-tsmc-process"},"modified":"2022-08-19T13:24:19","modified_gmt":"2022-08-19T18:24:19","slug":"nvidia-details-grace-hopper-cpu-superchip-design-144-cores-on-4n-tsmc-process","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/08\/nvidia-details-grace-hopper-cpu-superchip-design-144-cores-on-4n-tsmc-process","title":{"rendered":"Nvidia Details Grace Hopper CPU Superchip Design: 144 Cores on 4N TSMC Process"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/nvidia-details-grace-hopper-cpu-superchip-design-144-cores-on-4n-tsmc-process2.jpg\"><\/a><\/p>\n<p>Nvidia shared more performance benchmarks, but as with all vendor-provided performance data, you should take these numbers with a grain of salt. These benchmarks also come with the added caveat that they are conducted pre-silicon, meaning they\u2019re emulated projections that haven\u2019t been tested with actual silicon yet and are \u201csubject to change.\u201d As such, sprinkle some extra salt.<\/p>\n<p>Nvidia\u2019s new benchmark here is the score of 370 with a single Grace CPU in the SpecIntRate 2017 benchmark. This places the chips right at the range we would expect \u2014 Nvidia has already shared a multi-CPU benchmark, claiming a score of 740 for <em>two<\/em> Grace CPUs in the SpecIntRate2017 benchmark. Obviously, this suggests a linear scaling improvement with two chips.<\/p>\n<p>AMD\u2019s current-gen EPYC Milan chips, the current performance leader in the data center, have posted SPEC results ranging from 382 to 424 apiece, meaning the highest-end x86 chips will still hold the lead. However, Nvidia\u2019s solution will have many other advantages, such as power efficiency and a more GPU-friendly design.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nvidia shared more performance benchmarks, but as with all vendor-provided performance data, you should take these numbers with a grain of salt. These benchmarks also come with the added caveat that they are conducted pre-silicon, meaning they\u2019re emulated projections that haven\u2019t been tested with actual silicon yet and are \u201csubject to change.\u201d As such, sprinkle [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523],"tags":[],"class_list":["post-144429","post","type-post","status-publish","format-standard","hentry","category-computing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/144429","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=144429"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/144429\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=144429"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=144429"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=144429"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}