{"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\/sv\/2023\/09\/nvidia-software-supercharges-h100-inference-performance\/","title":{"rendered":"Nvidias mjukvara \u00f6kar H100:s inferensprestanda"},"content":{"rendered":"

Nvidia tillk\u00e4nnagav en ny programvara med \u00f6ppen k\u00e4llkod som enligt f\u00f6retaget kommer att \u00f6ka inferensprestandan p\u00e5 H100 GPU:erna.<\/strong><\/p>\n

En stor del av den nuvarande efterfr\u00e5gan p\u00e5 Nvidias GPU:er \u00e4r att bygga datorkraft f\u00f6r att tr\u00e4na nya modeller. Men n\u00e4r de v\u00e4l \u00e4r utbildade m\u00e5ste dessa modeller anv\u00e4ndas. Inferens i AI h\u00e4nvisar till f\u00f6rm\u00e5gan hos en LLM som ChatGPT att dra slutsatser eller g\u00f6ra f\u00f6ruts\u00e4gelser fr\u00e5n data som den har utbildats p\u00e5 och generera utdata.<\/p>\n

N\u00e4r du f\u00f6rs\u00f6ker anv\u00e4nda ChatGPT och ett meddelande dyker upp om att servrarna \u00e4r anstr\u00e4ngda beror det p\u00e5 att datorh\u00e5rdvaran k\u00e4mpar f\u00f6r att h\u00e5lla j\u00e4mna steg med efterfr\u00e5gan p\u00e5 inferens.<\/p>\n

Nvidia s\u00e4ger att deras nya mjukvara, TensorRT-LLM, kan f\u00e5 deras befintliga h\u00e5rdvara att k\u00f6ra mycket snabbare och dessutom mer energieffektivt.<\/p>\n

Programvaran inneh\u00e5ller optimerade versioner av de mest popul\u00e4ra modellerna, inklusive Meta Llama 2, OpenAI GPT-2 och GPT-3, Falcon, Mosaic MPT och BLOOM.<\/p>\n

Den anv\u00e4nder n\u00e5gra smarta tekniker som mer effektiv batchning av inferensuppgifter och kvantiseringstekniker f\u00f6r att uppn\u00e5 prestandaf\u00f6rb\u00e4ttringen.<\/p>\n

LLM:er anv\u00e4nder i allm\u00e4nhet 16-bitars flyttalsv\u00e4rden f\u00f6r att representera vikter och aktiveringar. Kvantisering tar dessa v\u00e4rden och reducerar dem till 8-bitars flyttalsv\u00e4rden under inferens. De flesta modeller lyckas beh\u00e5lla sin noggrannhet med denna reducerade precision.<\/p>\n

F\u00f6retag som har datainfrastruktur baserad p\u00e5 Nvidias H100 GPU:er kan f\u00f6rv\u00e4nta sig en enorm f\u00f6rb\u00e4ttring av inferensprestandan utan att beh\u00f6va spendera ett \u00f6re genom att anv\u00e4nda TensorRT-LLM.<\/p>\n

Nvidia anv\u00e4nde ett exempel d\u00e4r man k\u00f6rde en liten \u00f6ppen k\u00e4llkodsmodell, GPT-J 6, f\u00f6r att sammanfatta artiklar i CNN\/Daily Mail-datasetet. Deras \u00e4ldre A100-chip anv\u00e4nds som baslinjehastighet och j\u00e4mf\u00f6rs sedan med H100 utan och sedan med TensorRT-LLM.<\/p>\n

\"Nvidia<\/p>\n

K\u00e4lla: Nvidia<\/a><\/p>\n

Och h\u00e4r \u00e4r en j\u00e4mf\u00f6relse n\u00e4r du k\u00f6r Meta's Llama 2<\/p>\n

\"Nvidias<\/p>\n

K\u00e4lla: Nvidia<\/a><\/p>\n

Nvidia s\u00e4ger att testerna visar att beroende p\u00e5 modell anv\u00e4nder en H100 som k\u00f6r TensorRT-LLM mellan 3,2 och 5,6 g\u00e5nger mindre energi \u00e4n en A100 under inferens.<\/p>\n

Om du k\u00f6r AI-modeller p\u00e5 H100-h\u00e5rdvara inneb\u00e4r det inte bara att din inferensprestanda n\u00e4stan kommer att f\u00f6rdubblas, utan \u00e4ven att din energir\u00e4kning kommer att bli mycket l\u00e4gre n\u00e4r du har installerat den h\u00e4r programvaran.<\/p>\n

TensorRT-LLM kommer ocks\u00e5 att g\u00f6ras tillg\u00e4ngligt f\u00f6r Nvidias Grace Hopper Superchips<\/a> men f\u00f6retaget har inte sl\u00e4ppt n\u00e5gra prestandasiffror f\u00f6r GH200 med den nya programvaran.<\/p>\n

Den nya programvaran var \u00e4nnu inte klar n\u00e4r Nvidia l\u00e4t sin superchip GH200 genomg\u00e5 industristandarden MLPerf AI:s prestandatester. Resultaten visade att GH200 presterade upp till 17% b\u00e4ttre \u00e4n en H100 SXM med ett enda chip.<\/p>\n

Om Nvidia uppn\u00e5r ens en blygsam \u00f6kning av inferensprestandan med TensorRT-LLM med GH200, kommer det att s\u00e4tta f\u00f6retaget l\u00e5ngt framf\u00f6r sina n\u00e4rmaste rivaler. Att vara s\u00e4ljare f\u00f6r Nvidia m\u00e5ste vara det enklaste jobbet i v\u00e4rlden just nu.<\/p>","protected":false},"excerpt":{"rendered":"

Nvidia tillk\u00e4nnagav ny programvara med \u00f6ppen k\u00e4llkod som de s\u00e4ger kommer att \u00f6verbelasta inferensprestanda p\u00e5 sina H100 GPU: er. En stor del av den nuvarande efterfr\u00e5gan p\u00e5 Nvidias GPU: er \u00e4r att bygga datorkraft f\u00f6r att tr\u00e4na nya modeller. Men n\u00e4r de v\u00e4l \u00e4r utbildade m\u00e5ste dessa modeller anv\u00e4ndas. Inferens i AI h\u00e4nvisar till f\u00f6rm\u00e5gan hos en LLM som ChatGPT att dra slutsatser eller g\u00f6ra f\u00f6ruts\u00e4gelser fr\u00e5n data som den har utbildats p\u00e5 och generera utdata. N\u00e4r du f\u00f6rs\u00f6ker anv\u00e4nda ChatGPT och ett meddelande dyker upp som s\u00e4ger att servrarna \u00e4r anstr\u00e4ngda beror det p\u00e5 att datorh\u00e5rdvaran k\u00e4mpar f\u00f6r att h\u00e5lla j\u00e4mna steg 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\/sv\/2023\/09\/nvidia-software-supercharges-h100-inference-performance\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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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