{"id":5405,"date":"2023-09-13T13:45:33","date_gmt":"2023-09-13T13:45:33","guid":{"rendered":"https:\/\/dailyai.com\/?p=5405"},"modified":"2023-09-13T13:50:49","modified_gmt":"2023-09-13T13:50:49","slug":"nvidia-software-supercharges-h100-inference-performance","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/09\/nvidia-software-supercharges-h100-inference-performance\/","title":{"rendered":"Nvidia-programvare \u00f8ker ytelsen til H100-inferens"},"content":{"rendered":"

Nvidia kunngjorde ny programvare med \u00e5pen kildekode som if\u00f8lge selskapet vil gi bedre ytelse p\u00e5 H100 GPU-ene.<\/strong><\/p>\n

Mye av den n\u00e5v\u00e6rende ettersp\u00f8rselen etter Nvidias GPU-er er \u00e5 bygge datakraft for \u00e5 trene opp nye modeller. Men n\u00e5r modellene er trent opp, m\u00e5 de brukes. Inferens i AI refererer til evnen en LLM som ChatGPT har til \u00e5 trekke konklusjoner eller komme med sp\u00e5dommer ut fra data den har blitt trent p\u00e5, og generere resultater.<\/p>\n

N\u00e5r du pr\u00f8ver \u00e5 bruke ChatGPT og f\u00e5r opp en melding om at serverne er overbelastet, er det fordi maskinvaren sliter med \u00e5 holde tritt med ettersp\u00f8rselen etter slutninger.<\/p>\n

Nvidia sier at den nye programvaren, TensorRT-LLM, kan f\u00e5 den eksisterende maskinvaren til \u00e5 kj\u00f8re mye raskere og mer energieffektivt.<\/p>\n

Programvaren inneholder optimaliserte versjoner av de mest popul\u00e6re modellene, inkludert Meta Llama 2, OpenAI GPT-2 og GPT-3, Falcon, Mosaic MPT og BLOOM.<\/p>\n

Den bruker noen smarte teknikker, som mer effektiv gruppering av inferensoppgaver og kvantifiseringsteknikker, for \u00e5 oppn\u00e5 \u00f8kt ytelse.<\/p>\n

LLM-er bruker vanligvis 16-biters flyttallsverdier for \u00e5 representere vekter og aktiveringer. Kvantisering tar disse verdiene og reduserer dem til 8-bits flyttallverdier under inferens. De fleste modeller klarer \u00e5 beholde n\u00f8yaktigheten med denne reduserte presisjonen.<\/p>\n

Bedrifter som har en databehandlingsinfrastruktur basert p\u00e5 Nvidias H100-GPU-er, kan forvente en enorm forbedring av inferensytelsen uten \u00e5 m\u00e5tte bruke en eneste krone p\u00e5 \u00e5 bruke TensorRT-LLM.<\/p>\n

Nvidia brukte et eksempel p\u00e5 \u00e5 kj\u00f8re en liten \u00e5pen kildekodemodell, GPT-J 6, for \u00e5 oppsummere artikler i CNN\/Daily Mail-datasettet. Den eldre A100-brikken brukes som basishastighet og sammenlignes deretter med H100 uten og deretter med TensorRT-LLM.<\/p>\n

\"Nvidia<\/p>\n

Kilde: Nvidia<\/a><\/p>\n

Og her er en sammenligning n\u00e5r du kj\u00f8rer Meta's Llama 2<\/p>\n

\"Nvidia<\/p>\n

Kilde: Nvidia<\/a><\/p>\n

Nvidia sa at testingen viste at en H100 som kj\u00f8rer TensorRT-LLM, avhengig av modell, bruker mellom 3,2 og 5,6 ganger mindre energi enn en A100 under inferens.<\/p>\n

Hvis du kj\u00f8rer AI-modeller p\u00e5 H100-maskinvare, betyr dette at ikke bare vil slutningsytelsen din nesten dobles, men str\u00f8mregningen din vil ogs\u00e5 bli mye mindre n\u00e5r du installerer denne programvaren.<\/p>\n

TensorRT-LLM vil ogs\u00e5 bli gjort tilgjengelig for Nvidias Grace Hopper Superchips<\/a> men selskapet har ikke offentliggjort ytelsestall for GH200 med den nye programvaren.<\/p>\n

Den nye programvaren var enn\u00e5 ikke klar da Nvidia kj\u00f8rte sin GH200 Superchip gjennom bransjestandarden MLPerf AI-ytelsestester. Resultatene viste at GH200 presterte opptil 17% bedre enn en enkeltbrikke H100 SXM.<\/p>\n

Hvis Nvidia oppn\u00e5r selv en beskjeden \u00f8kning i inferensytelsen ved hjelp av TensorRT-LLM med GH200, vil det gi selskapet et stort forsprang p\u00e5 de n\u00e6rmeste konkurrentene. \u00c5 v\u00e6re salgsrepresentant for Nvidia m\u00e5 v\u00e6re den enkleste jobben i verden akkurat n\u00e5.<\/p>","protected":false},"excerpt":{"rendered":"

Nvidia kunngjorde ny programvare med \u00e5pen kildekode som de sier vil \u00f8ke inferensytelsen p\u00e5 sine H100 GPUer. Mye av den n\u00e5v\u00e6rende ettersp\u00f8rselen etter Nvidias GPU-er er \u00e5 bygge datakraft for \u00e5 trene opp nye modeller. Men n\u00e5r de f\u00f8rst er trent, m\u00e5 disse modellene brukes. Inferens i AI refererer til evnen til en LLM som ChatGPT til \u00e5 trekke konklusjoner eller komme med sp\u00e5dommer fra data den har blitt trent p\u00e5 og generere utdata. N\u00e5r du pr\u00f8ver \u00e5 bruke ChatGPT og f\u00e5r opp en melding om at serverne er overbelastet, er det fordi maskinvaren sliter med \u00e5 holde tritt med<\/p>","protected":false},"author":6,"featured_media":973,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[99,106],"class_list":["post-5405","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-ai-race","tag-nvidia"],"yoast_head":"\nNvidia software supercharges H100 inference performance | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2023\/09\/nvidia-software-supercharges-h100-inference-performance\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nvidia software supercharges H100 inference performance | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Nvidia announced new open source software that it says will supercharge inference performance on its H100 GPUs. A lot of the current demand for Nvidia\u2019s GPUs is to build computing power for training new models. But once trained, those models need to be used. Inference in AI refers to the ability of an LLM like ChatGPT to draw conclusions or make predictions from data it\u2019s been trained on and generate output. 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