{"id":7271,"date":"2023-11-10T06:57:38","date_gmt":"2023-11-10T06:57:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=7271"},"modified":"2023-11-10T07:08:17","modified_gmt":"2023-11-10T07:08:17","slug":"nvidia-sets-new-ai-training-records-in-mlperf-benchmarks","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2023\/11\/nvidia-sets-new-ai-training-records-in-mlperf-benchmarks\/","title":{"rendered":"Nvidia stabilisce nuovi record di addestramento AI nei benchmark di MLPerf"},"content":{"rendered":"<p><strong>Nvidia ha scalato e ottimizzato il suo supercomputer Eos AI per stabilire nuovi record di benchmark di addestramento MLPerf AI.<\/strong><\/p>\n<p>Quando Nvidia ha acceso il suo supercomputer di intelligenza artificiale Eos a maggio, 10.752 GPU NVIDIA H100 Tensor Core hanno preso vita e sono appena state sottoposte a test reali.<\/p>\n<p>Questa potenza di elaborazione senza precedenti, insieme alle nuove ottimizzazioni del software, ha permesso a Eos di spingere l'MLPerf <a href=\"https:\/\/dailyai.com\/it\/2023\/10\/mlcommons-and-big-tech-to-develop-ai-safety-benchmarks\/\">parametro di riferimento<\/a> in un territorio da record.<\/p>\n<p>Il benchmark open-source MLPerf \u00e8 un insieme di test di addestramento e inferenza progettati per misurare le prestazioni dei carichi di lavoro di apprendimento automatico su insiemi di dati reali.<\/p>\n<p>Uno dei risultati pi\u00f9 significativi \u00e8 che Eos \u00e8 stato in grado di addestrare un modello GPT-3 con 175 miliardi di parametri su un miliardo di token in soli 3,9 minuti.<\/p>\n<p>Quando Nvidia ha stabilito il record su questo benchmark, meno di 6 mesi fa, ha impiegato quasi 3 volte di pi\u00f9, con un tempo di 10,9 minuti.<\/p>\n<p>Nvidia \u00e8 stata anche in grado di raggiungere un tasso di efficienza di 93% durante i test, il che significa che ha utilizzato quasi tutta la potenza di calcolo teoricamente disponibile in Eos.<\/p>\n<p>Microsoft Azure, che utilizza pi\u00f9 o meno la stessa configurazione H100 di Eos nella sua macchina virtuale ND H100 v5, \u00e8 arrivata a 2% dai risultati di Nvidia nei suoi test MLPerf.<\/p>\n<figure id=\"attachment_7274\" aria-describedby=\"caption-attachment-7274\" style=\"width: 1200px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7274 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100.jpeg\" alt=\"\" width=\"1200\" height=\"754\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100.jpeg 1200w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-300x189.jpeg 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-1024x643.jpeg 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-768x483.jpeg 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-370x232.jpeg 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-800x503.jpeg 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-20x13.jpeg 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-740x465.jpeg 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Nvidia-H100-vs-A100-vs-V100-76x48.jpeg 76w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><figcaption id=\"caption-attachment-7274\" class=\"wp-caption-text\">Hardware Nvidia utilizzato nei test MLPerf. Fonte: Nvidia<\/figcaption><\/figure>\n<p>Nel 2018 Jensen Huang, il CEO di Nvidia, ha dichiarato che le prestazioni delle GPU raddoppieranno ogni due anni. Questa affermazione \u00e8 stata coniata come legge di Haung e si \u00e8 dimostrata vera, in quanto lascia <a href=\"https:\/\/dailyai.com\/it\/2023\/10\/ibm-northpole-chip-promises-faster-low-energy-ai-processing\/\">Scomparsa della Legge di Moore<\/a> nello specchietto retrovisore informatico.<\/p>\n<h2>E allora?<\/h2>\n<p>Il test di addestramento del benchmark MLPerf che Nvidia ha superato utilizza solo una porzione del dataset completo su cui \u00e8 stato addestrato GPT-3. Se si prende il tempo stabilito da Eos nel test MLPerf e lo si estrapola per l'intero dataset GPT-3, si potrebbe addestrare l'intero modello in soli 8 giorni.<\/p>\n<p>Se si tentasse di farlo utilizzando il precedente sistema all'avanguardia composto da 512 GPU A100, sarebbero necessari circa 170 giorni.<\/p>\n<p>Se doveste addestrare un nuovo modello di intelligenza artificiale, riuscite a immaginare la differenza in termini di time to market e di costi che rappresenta 8 giorni rispetto a 170 giorni?<\/p>\n<p>Le GPU H100 non solo sono molto pi\u00f9 potenti delle GPU A100, ma sono anche fino a 3,5 volte pi\u00f9 efficienti dal punto di vista energetico. Utilizzo di energia e <a href=\"https:\/\/dailyai.com\/it\/2023\/09\/activists-ask-schumer-to-address-ais-climate-impact\/\">L'impronta di carbonio dell'AI<\/a> sono problemi reali che devono essere affrontati.<\/p>\n<p>Per avere un'idea della rapidit\u00e0 con cui l'elaborazione dell'intelligenza artificiale sta migliorando, basti pensare a ChatGPT, che \u00e8 stato lanciato poco meno di un anno fa. Il modello sottostante, GPT-3, \u00e8 stato addestrato su 10.240 GPU Nvidia V100.<\/p>\n<p>Meno di un anno dopo, Eos ha una potenza di elaborazione 28 volte superiore a quella configurazione, con un miglioramento dell'efficienza di 3,5 volte.<\/p>\n<figure id=\"attachment_7273\" aria-describedby=\"caption-attachment-7273\" style=\"width: 500px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7273\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos.png\" alt=\"\" width=\"500\" height=\"361\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos-300x216.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos-370x267.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos-20x14.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/GPT-3-processing-vs-Nvidia-Eos-67x48.png 67w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><figcaption id=\"caption-attachment-7273\" class=\"wp-caption-text\">Potenza di elaborazione che ha formato GPT-3 rispetto a Nvidia Eos<\/figcaption><\/figure>\n<p>Quando Sam Altman di OpenAI ha concluso il recente DevDay, ha detto che i progetti a cui OpenAI stava lavorando avrebbero fatto sembrare pittoresche le sue ultime versioni.<\/p>\n<p>Considerando il salto di potenza di elaborazione che aziende come Nvidia stanno ottenendo, l'affermazione di Altman probabilmente riassume il futuro dell'industria dell'IA nel suo complesso.<\/p>","protected":false},"excerpt":{"rendered":"<p>Nvidia ha scalato e ottimizzato il suo supercomputer Eos AI per stabilire nuovi record di benchmark di addestramento MLPerf AI. Quando Nvidia ha acceso il suo supercomputer di intelligenza artificiale Eos a maggio, 10.752 GPU NVIDIA H100 Tensor Core hanno preso vita e sono state appena sottoposte a test reali. Questa potenza di elaborazione senza precedenti, insieme alle nuove ottimizzazioni software, ha permesso a Eos di spingere il benchmark MLPerf in un territorio da record. Il benchmark open-source MLPerf \u00e8 un insieme di test di addestramento e inferenza progettati per misurare le prestazioni dei carichi di lavoro di apprendimento automatico su set di dati reali. Uno dei risultati pi\u00f9 evidenti \u00e8 stato che Eos \u00e8 stato in grado di<\/p>","protected":false},"author":6,"featured_media":973,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[106],"class_list":["post-7271","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nvidia sets new AI training records in MLPerf benchmarks | 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\/it\/2023\/11\/nvidia-sets-new-ai-training-records-in-mlperf-benchmarks\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nvidia sets new AI training records in MLPerf benchmarks | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Nvidia scaled and optimized its Eos AI supercomputer to set new MLPerf AI training benchmark records. When Nvidia switched its AI supercomputer Eos on in May, 10,752 NVIDIA H100 Tensor Core GPUs came to life and they&#8217;ve just been put through some real-world test trials. This unprecedented processing power along with new software optimizations has enabled Eos to push the MLPerf benchmark into record territory. The open-source MLPerf benchmark is a set of training and inference tests designed to measure the performance of machine learning workloads on real-world datasets. One of the standout results was that Eos was able to\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/it\/2023\/11\/nvidia-sets-new-ai-training-records-in-mlperf-benchmarks\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-10T06:57:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-10T07:08:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/05\/shutterstock_1742705531.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta 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