{"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\/es\/2023\/06\/nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test\/","title":{"rendered":"Los chips H100 de Nvidia baten r\u00e9cords de entrenamiento de IA en una prueba de referencia"},"content":{"rendered":"<p><b>Las nuevas GPU H100 de NVIDIA han establecido nuevas referencias en tareas de entrenamiento de IA, batiendo varios r\u00e9cords en el proceso.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400\">MLPerf fue fundado por un consorcio de investigadores, acad\u00e9micos y otros especialistas que crearon puntos de referencia para probar la rapidez con la que los sistemas pueden desplegar y ejecutar modelos de IA. En esencia, MLPerf es una serie de pruebas dise\u00f1adas para medir la velocidad y la eficiencia del hardware, el software y los servicios de aprendizaje autom\u00e1tico (ML).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia, l\u00edder mundial en hardware de IA, prob\u00f3 un <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/06\/27\/generative-ai-debut-mlperf\/\"><span style=\"font-weight: 400\">cl\u00faster de 3.584 GPU H100<\/span><\/a><span style=\"font-weight: 400\"> para flexionar su formidable velocidad.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">El cl\u00faster, desarrollado por Inflection AI y gestionado por CoreWeave, un proveedor de servicios en la nube especializado en cargas de trabajo basadas en GPU, complet\u00f3 una prueba de entrenamiento basada en el modelo GPT-3 en menos de 11 minutos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">En otras palabras, el cl\u00faster entren\u00f3 un modelo equivalente a GPT-3 con unos 175.000 millones de par\u00e1metros en aproximadamente el mismo tiempo que se tarda en preparar un caf\u00e9 o pasear al perro. Aunque no sabemos cu\u00e1nto tard\u00f3 OpenAI en entrenar GPT-3, lo cierto es que no fueron 11 minutos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Las GPU H100 batieron r\u00e9cords en otras 8 pruebas de MLPerf, demostrando su potencia bruta y versatilidad. Estos son algunos de los resultados:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Gran modelo ling\u00fc\u00edstico (GPT-3)<\/b><span style=\"font-weight: 400\">: 10,9 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Procesamiento del lenguaje natural (BERT)<\/b><span style=\"font-weight: 400\">: 0,13 minutos (8 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Recomendaci\u00f3n (DLRMv2)<\/b><span style=\"font-weight: 400\">: 1,61 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Detecci\u00f3n de objetos, peso pesado (Mask R-CNN)<\/b><span style=\"font-weight: 400\">: 1.47 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Detecci\u00f3n de objetos, ligera (RetinaNet)<\/b><span style=\"font-weight: 400\">: 1.51 minutos<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Clasificaci\u00f3n de im\u00e1genes (ResNet-50 v1.5)<\/b><span style=\"font-weight: 400\">: 0,18 minutos (11 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Segmentaci\u00f3n de im\u00e1genes (3D U-Net)<\/b><span style=\"font-weight: 400\">: 0,82 minutos (49 segundos)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Reconocimiento de voz (RNN-T)<\/b><span style=\"font-weight: 400\">: 1,65 minutos<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">En su \u00faltima ronda de pruebas comparativas, denominada v3.0, MLPerf tambi\u00e9n actualiz\u00f3 su prueba para sistemas de recomendaci\u00f3n, que son algoritmos que sugieren productos o servicios a los usuarios bas\u00e1ndose en su comportamiento anterior.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">La nueva prueba utiliza un conjunto de datos m\u00e1s amplio y un modelo de IA m\u00e1s actual para emular mejor los retos a los que se enfrentan los proveedores de servicios. Nvidia es la \u00fanica empresa que ha presentado resultados en esta prueba.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Evaluaci\u00f3n comparativa MLPerf<\/span><\/h2>\n<p><a href=\"https:\/\/mlcommons.org\/en\/\"><span style=\"font-weight: 400\">MLCommons<\/span><\/a><span style=\"font-weight: 400\">un consorcio de IA y tecnolog\u00eda, acaba de anunciar los resultados m\u00e1s recientes de sus pruebas comparativas de IA.<\/span><\/p>\n<p><span style=\"font-weight: 400\"> La primera ronda de pruebas se denomin\u00f3 v3.0 y eval\u00faa la eficiencia del entrenamiento de modelos de aprendizaje autom\u00e1tico. Otra ronda, denominada Tiny v1.1, examina las aplicaciones de ML para dispositivos ultracompactos y de bajo consumo.<\/span><\/p>\n<p><span style=\"font-weight: 400\">En la ronda MLPerf v3.0 participaron empresas como ASUSTek, Azure, Dell, Fujitsu, GIGABYTE, H3C, IEI, Intel &amp; Habana Labs, Krai, Lenovo, NVIDIA, NVIDIA + CoreWeave, Quanta Cloud Technology, Supermicro y xFusion.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">En general, los modelos mostraron mejoras de rendimiento de hasta 1,54 veces en los \u00faltimos 6 meses o de 33 a 49 veces desde la primera 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\">, en 2019, lo que ilustra el ritmo de progreso de los sistemas de aprendizaje autom\u00e1tico.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia se llev\u00f3 la palma de la ronda v3.0 gracias a sus chips H100 de gama ultraalta, que probablemente mantendr\u00e1 en un futuro pr\u00f3ximo. <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Las nuevas GPU H100 de NVIDIA han establecido nuevas referencias para las tareas de entrenamiento de IA, batiendo varios r\u00e9cords en el proceso.  MLPerf fue fundado por un consorcio de investigadores, acad\u00e9micos y otros especialistas que crearon pruebas de referencia para comprobar la rapidez con la que los sistemas pueden implantar y ejecutar modelos de IA. En esencia, MLPerf es una serie de pruebas dise\u00f1adas para medir la velocidad y la eficiencia del hardware, el software y los servicios de aprendizaje autom\u00e1tico (ML).  Nvidia, l\u00edder mundial en hardware de IA, prob\u00f3 un cl\u00faster de 3.584 GPU H100 para poner a prueba su formidable velocidad.  El cl\u00faster, codesarrollado por la startup de IA Inflection AI y gestionado por CoreWeave, una nube<\/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, 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