{"id":2095,"date":"2023-06-27T20:52:15","date_gmt":"2023-06-27T20:52:15","guid":{"rendered":"https:\/\/dailyai.com\/?p=2095"},"modified":"2023-07-04T11:31:32","modified_gmt":"2023-07-04T11:31:32","slug":"nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/06\/nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test\/","title":{"rendered":"Nvidias H100-chip sl\u00e5r rekord i AI-utbildning i benchmark-test"},"content":{"rendered":"<p><b>NVIDIA:s nya H100 GPU:er har satt nya riktm\u00e4rken f\u00f6r AI-tr\u00e4ningsuppgifter och slagit flera rekord i processen.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400\">MLPerf grundades av ett konsortium av forskare, akademiker och andra specialister som byggde benchmarks f\u00f6r att testa hur snabbt system kan distribuera och k\u00f6ra AI-modeller. I grund och botten \u00e4r MLPerf en serie tester som \u00e4r utformade f\u00f6r att m\u00e4ta hastigheten och effektiviteten hos maskininl\u00e4rning (ML) h\u00e5rdvara, programvara och tj\u00e4nster.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia, v\u00e4rldsledande inom AI-h\u00e5rdvara, testade en <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/06\/27\/generative-ai-debut-mlperf\/\"><span style=\"font-weight: 400\">kluster med 3.584 H100 GPU:er<\/span><\/a><span style=\"font-weight: 400\"> f\u00f6r att visa upp sin formidabla snabbhet.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Klustret, som utvecklats av AI-startupen Inflection AI och hanteras av CoreWeave, en molntj\u00e4nstleverant\u00f6r som specialiserar sig p\u00e5 GPU-baserade arbetsbelastningar, klarade ett tr\u00e4ningsriktm\u00e4rke baserat p\u00e5 GPT-3-modellen p\u00e5 mindre \u00e4n 11 minuter.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Med andra ord tr\u00e4nade klustret en GPT-3-ekvivalent modell med cirka 175 miljarder parametrar p\u00e5 ungef\u00e4r samma tid som det tar att brygga ett kaffe eller g\u00e5 ut med hunden. \u00c4ven om vi inte vet hur l\u00e5ng tid det tog OpenAI att tr\u00e4na GPT-3, var det verkligen inte 11 minuter.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">H100 GPU:erna satte rekord i 8 andra MLPerf-tester, vilket visar deras r\u00e5a kraft och m\u00e5ngsidighet. H\u00e4r \u00e4r n\u00e5gra av resultaten:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Stor spr\u00e5kmodell (GPT-3)<\/b><span style=\"font-weight: 400\">: 10,9 minuter<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Behandling av naturligt spr\u00e5k (BERT)<\/b><span style=\"font-weight: 400\">: 0,13 minuter (8 sekunder)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Rekommendation (DLRMv2)<\/b><span style=\"font-weight: 400\">: 1,61 minuter<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Objektdetektering, tungviktare (Mask R-CNN)<\/b><span style=\"font-weight: 400\">: 1,47 minuter<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Objektdetektering, l\u00e4ttviktig (RetinaNet)<\/b><span style=\"font-weight: 400\">: 1,51 minuter<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Klassificering av bilder (ResNet-50 v1.5)<\/b><span style=\"font-weight: 400\">: 0,18 minuter (11 sekunder)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Bildsegmentering (3D U-Net)<\/b><span style=\"font-weight: 400\">: 0,82 minuter (49 sekunder)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Taligenk\u00e4nning (RNN-T)<\/b><span style=\"font-weight: 400\">: 1,65 minuter<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">I sin senaste omg\u00e5ng av benchmarking, kallad v3.0, uppdaterade MLPerf ocks\u00e5 sitt test f\u00f6r rekommendationssystem, vilket \u00e4r algoritmer som f\u00f6resl\u00e5r produkter eller tj\u00e4nster till anv\u00e4ndare baserat p\u00e5 deras tidigare beteende.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Det nya testet anv\u00e4nder ett st\u00f6rre dataset och en mer aktuell AI-modell f\u00f6r att b\u00e4ttre efterlikna de utmaningar som tj\u00e4nsteleverant\u00f6rer st\u00e5r inf\u00f6r. Nvidia \u00e4r det enda f\u00f6retaget som har l\u00e4mnat in resultat p\u00e5 detta benchmark.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">MLPerf-benchmarking<\/span><\/h2>\n<p><a href=\"https:\/\/mlcommons.org\/en\/\"><span style=\"font-weight: 400\">MLCommons<\/span><\/a><span style=\"font-weight: 400\">ett konsortium f\u00f6r AI och teknik, presenterade nyligen de senaste resultaten fr\u00e5n sina AI-benchmarkingtester.<\/span><\/p>\n<p><span style=\"font-weight: 400\"> Den prim\u00e4ra benchmarkrundan kallades v3.0, som utv\u00e4rderar effektiviteten i tr\u00e4ningen av maskininl\u00e4rningsmodeller. En annan omg\u00e5ng, kallad Tiny v1.1, unders\u00f6ker ML-applikationer f\u00f6r ultrakompakta enheter med l\u00e5g effekt.<\/span><\/p>\n<p><span style=\"font-weight: 400\">I MLPerf-rundan v3.0 deltog f\u00f6retag som ASUSTek, Azure, Dell, Fujitsu, GIGABYTE, H3C, IEI, Intel &amp; Habana Labs, Krai, Lenovo, NVIDIA, NVIDIA + CoreWeave, Quanta Cloud Technology, Supermicro och xFusion.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Sammantaget visade modellerna prestandaf\u00f6rb\u00e4ttringar p\u00e5 upp till 1,54 g\u00e5nger under de senaste 6 m\u00e5naderna eller 33 till 49 g\u00e5nger sedan den f\u00f6rsta omg\u00e5ngen, <\/span><a href=\"https:\/\/mlcommons.org\/en\/inference-datacenter-05\/\"><span style=\"font-weight: 400\">v0.5<\/span><\/a><span style=\"font-weight: 400\">under 2019, vilket illustrerar takten i utvecklingen av system f\u00f6r maskininl\u00e4rning.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia tog hem skalpen i round v3.0 tack vare sina ultra-high-end H100-chip, som de sannolikt kommer att beh\u00e5lla under \u00f6versk\u00e5dlig framtid. <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>NVIDIA:s nya H100 GPU:er har satt nya riktm\u00e4rken f\u00f6r AI-tr\u00e4ningsuppgifter och slagit flera rekord i processen.  MLPerf grundades av ett konsortium av forskare, akademiker och andra specialister som byggde benchmarks f\u00f6r att testa hur snabbt system kan distribuera och k\u00f6ra AI-modeller. I grund och botten \u00e4r MLPerf en serie tester som \u00e4r utformade f\u00f6r att m\u00e4ta hastigheten och effektiviteten hos maskininl\u00e4rning (ML) h\u00e5rdvara, programvara och tj\u00e4nster.  Nvidia, v\u00e4rldsledande inom AI-h\u00e5rdvara, testade ett kluster med 3 584 H100 GPU:er f\u00f6r att visa deras formidabla hastighet.  Klustret, som utvecklats av AI-startupen Inflection AI och hanteras av CoreWeave, ett molnbaserat<\/p>","protected":false},"author":2,"featured_media":2096,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[173,106,100],"class_list":["post-2095","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-h100","tag-nvidia","tag-semiconductors"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nvidia&#039;s H100 chips smash AI training records in benchmark test | DailyAI<\/title>\n<meta name=\"description\" content=\"NVIDIA&#039;s new H100 GPUs have set new benchmarks for AI training tasks, breaking several records in the process.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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