{"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\/pt\/2023\/06\/nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test\/","title":{"rendered":"Os chips H100 da Nvidia batem recordes de treino de IA num teste de refer\u00eancia"},"content":{"rendered":"<p><b>As novas GPUs H100 da NVIDIA estabeleceram novos padr\u00f5es de refer\u00eancia para tarefas de treino de IA, batendo v\u00e1rios recordes no processo.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400\">O MLPerf foi fundado por um cons\u00f3rcio de investigadores, acad\u00e9micos e outros especialistas que criaram refer\u00eancias para testar a rapidez com que os sistemas podem implementar e executar modelos de IA. Essencialmente, o MLPerf \u00e9 uma s\u00e9rie de testes concebidos para medir a velocidade e a efici\u00eancia do hardware, software e servi\u00e7os de aprendizagem autom\u00e1tica (ML).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">A Nvidia, l\u00edder mundial em hardware de IA, testou um <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/06\/27\/generative-ai-debut-mlperf\/\"><span style=\"font-weight: 400\">cluster de 3.584 GPUs H100<\/span><\/a><span style=\"font-weight: 400\"> para flexibilizar a sua formid\u00e1vel velocidade.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">O cluster, co-desenvolvido pela startup de IA Inflection AI e gerido pela CoreWeave, um fornecedor de servi\u00e7os na nuvem especializado em cargas de trabalho baseadas em GPU, completou um benchmark de treino baseado no modelo GPT-3 em menos de 11 minutos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Por outras palavras, o cluster treinou um modelo equivalente ao GPT-3 com cerca de 175 mil milh\u00f5es de par\u00e2metros no mesmo tempo que demora a preparar um caf\u00e9 ou a passear o c\u00e3o. Embora n\u00e3o saibamos quanto tempo a OpenAI levou para treinar o GPT-3, certamente n\u00e3o foram 11 minutos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">As GPUs H100 estabeleceram recordes em 8 outros testes MLPerf, demonstrando a sua pot\u00eancia bruta e versatilidade. Aqui est\u00e3o alguns dos resultados:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Modelo de l\u00edngua grande (GPT-3)<\/b><span style=\"font-weight: 400\">: 10,9 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Processamento de linguagem natural (BERT)<\/b><span style=\"font-weight: 400\">: 0,13 minutos (8 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Recomenda\u00e7\u00e3o (DLRMv2)<\/b><span style=\"font-weight: 400\">: 1,61 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Dete\u00e7\u00e3o de objectos, peso pesado (M\u00e1scara R-CNN)<\/b><span style=\"font-weight: 400\">: 1.47 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Dete\u00e7\u00e3o de objectos, leve (RetinaNet)<\/b><span style=\"font-weight: 400\">: 1,51 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Classifica\u00e7\u00e3o de imagens (ResNet-50 v1.5)<\/b><span style=\"font-weight: 400\">: 0,18 minutos (11 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Segmenta\u00e7\u00e3o de imagens (3D U-Net)<\/b><span style=\"font-weight: 400\">: 0,82 minutos (49 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Reconhecimento do discurso (RNN-T)<\/b><span style=\"font-weight: 400\">: 1,65 minutos<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Na sua \u00faltima ronda de avalia\u00e7\u00e3o comparativa, denominada v3.0, o MLPerf tamb\u00e9m actualizou o seu teste para sistemas de recomenda\u00e7\u00e3o, que s\u00e3o algoritmos que sugerem produtos ou servi\u00e7os aos utilizadores com base no seu comportamento passado.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">O novo teste utiliza um conjunto de dados maior e um modelo de IA mais atual para emular melhor os desafios enfrentados pelos fornecedores de servi\u00e7os. A Nvidia \u00e9 a \u00fanica empresa a apresentar resultados neste teste de refer\u00eancia.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Avalia\u00e7\u00e3o comparativa do MLPerf<\/span><\/h2>\n<p><a href=\"https:\/\/mlcommons.org\/en\/\"><span style=\"font-weight: 400\">MLCommons<\/span><\/a><span style=\"font-weight: 400\">um cons\u00f3rcio de IA e tecnologia, anunciou recentemente os mais recentes resultados dos seus testes de aferi\u00e7\u00e3o de desempenho de IA.<\/span><\/p>\n<p><span style=\"font-weight: 400\"> A ronda de refer\u00eancia principal foi designada v3.0, que avalia a efici\u00eancia da forma\u00e7\u00e3o de modelos de aprendizagem autom\u00e1tica. Outra ronda, denominada Tiny v1.1, examina as aplica\u00e7\u00f5es de aprendizagem autom\u00e1tica para dispositivos ultra-compactos e de baixo consumo.<\/span><\/p>\n<p><span style=\"font-weight: 400\">A ronda MLPerf v3.0 contou com a participa\u00e7\u00e3o de empresas como a ASUSTek, Azure, Dell, Fujitsu, GIGABYTE, H3C, IEI, Intel &amp; Habana Labs, Krai, Lenovo, NVIDIA, NVIDIA + CoreWeave, Quanta Cloud Technology, Supermicro e xFusion.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Globalmente, os modelos apresentaram melhorias de desempenho at\u00e9 1,54x nos \u00faltimos 6 meses ou 33 a 49x desde a primeira ronda, <\/span><a href=\"https:\/\/mlcommons.org\/en\/inference-datacenter-05\/\"><span style=\"font-weight: 400\">v0.5<\/span><\/a><span style=\"font-weight: 400\">em 2019, o que ilustra o ritmo de progresso dos sistemas de aprendizagem autom\u00e1tica.<\/span><\/p>\n<p><span style=\"font-weight: 400\">A Nvidia conquistou o escalpe da ronda v3.0 gra\u00e7as aos seus chips H100 ultra-ultra-altos, que provavelmente manter\u00e3o num futuro pr\u00f3ximo. <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>As novas GPUs H100 da NVIDIA estabeleceram novos padr\u00f5es de refer\u00eancia para tarefas de treino de IA, batendo v\u00e1rios recordes no processo.  O MLPerf foi fundado por um cons\u00f3rcio de investigadores, acad\u00e9micos e outros especialistas que criaram refer\u00eancias para testar a rapidez com que os sistemas podem implementar e executar modelos de IA. Na sua ess\u00eancia, o MLPerf \u00e9 uma s\u00e9rie de testes concebidos para medir a velocidade e a efici\u00eancia do hardware, software e servi\u00e7os de aprendizagem autom\u00e1tica (ML).  A Nvidia, l\u00edder mundial em hardware de IA, testou um cluster de 3.584 GPUs H100 para flexibilizar a sua formid\u00e1vel velocidade.  O cluster, co-desenvolvido pela startup de IA Inflection AI e gerido pela CoreWeave, uma empresa de<\/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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