{"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\/de\/2023\/06\/nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test\/","title":{"rendered":"Nvidias H100-Chips brechen KI-Trainingsrekorde im Benchmark-Test"},"content":{"rendered":"<p><b>Die neuen H100-Grafikprozessoren von NVIDIA haben neue Ma\u00dfst\u00e4be f\u00fcr KI-Trainingsaufgaben gesetzt und dabei mehrere Rekorde gebrochen.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400\">MLPerf wurde von einem Konsortium aus Forschern, Akademikern und anderen Spezialisten gegr\u00fcndet, die Benchmarks entwickelt haben, um zu testen, wie schnell Systeme KI-Modelle einsetzen und ausf\u00fchren k\u00f6nnen. MLPerf ist im Wesentlichen eine Reihe von Tests, die die Geschwindigkeit und Effizienz von Hardware, Software und Diensten f\u00fcr maschinelles Lernen (ML) messen sollen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia, der weltweit f\u00fchrende Anbieter von KI-Hardware, testete eine <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/06\/27\/generative-ai-debut-mlperf\/\"><span style=\"font-weight: 400\">Cluster aus 3.584 H100-GPUs<\/span><\/a><span style=\"font-weight: 400\"> um ihre beeindruckende Geschwindigkeit auszuspielen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Der vom KI-Startup Inflection AI mitentwickelte und von CoreWeave, einem auf GPU-basierte Workloads spezialisierten Cloud-Service-Anbieter, verwaltete Cluster absolvierte einen auf dem GPT-3-Modell basierenden Trainingsbenchmark in weniger als 11 Minuten.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Mit anderen Worten: Der Cluster hat ein GPT-3-\u00e4quivalentes Modell mit etwa 175 Mrd. Parametern in etwa der gleichen Zeit trainiert, die man braucht, um einen Kaffee zu kochen oder mit dem Hund spazieren zu gehen. Wir wissen zwar nicht, wie lange OpenAI gebraucht hat, um GPT-3 zu trainieren, aber es waren sicherlich keine 11 Minuten.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Die H100-GPUs haben in 8 weiteren MLPerf-Tests Rekorde aufgestellt und dabei ihre rohe Leistung und Vielseitigkeit unter Beweis gestellt. Hier sind einige der Ergebnisse:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Gro\u00dfes Sprachmodell (GPT-3)<\/b><span style=\"font-weight: 400\">: 10,9 Minuten<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Verarbeitung nat\u00fcrlicher Sprache (BERT)<\/b><span style=\"font-weight: 400\">: 0,13 Minuten (8 Sekunden)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Empfehlung (DLRMv2)<\/b><span style=\"font-weight: 400\">: 1.61 Minuten<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Objekterkennung, schwergewichtig (Maske R-CNN)<\/b><span style=\"font-weight: 400\">: 1.47 Minuten<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Objekterkennung, leichtgewichtig (RetinaNet)<\/b><span style=\"font-weight: 400\">: 1.51 Minuten<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Bildklassifizierung (ResNet-50 v1.5)<\/b><span style=\"font-weight: 400\">: 0,18 Minuten (11 Sekunden)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Bildsegmentierung (3D U-Netz)<\/b><span style=\"font-weight: 400\">: 0,82 Minuten (49 Sekunden)<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Spracherkennung (RNN-T)<\/b><span style=\"font-weight: 400\">: 1.65 Minuten<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">In seiner neuesten Benchmarking-Runde, die den Namen v3.0 tr\u00e4gt, hat MLPerf auch seinen Test f\u00fcr Empfehlungssysteme aktualisiert, bei denen es sich um Algorithmen handelt, die Nutzern auf der Grundlage ihres bisherigen Verhaltens Produkte oder Dienstleistungen vorschlagen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Der neue Test verwendet einen gr\u00f6\u00dferen Datensatz und ein aktuelleres KI-Modell, um die Herausforderungen von Dienstanbietern besser zu simulieren. Nvidia ist das einzige Unternehmen, das Ergebnisse zu diesem Benchmark vorgelegt hat.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">MLPerf-Benchmarking<\/span><\/h2>\n<p><a href=\"https:\/\/mlcommons.org\/en\/\"><span style=\"font-weight: 400\">MLCommons<\/span><\/a><span style=\"font-weight: 400\">, ein KI- und Technologiekonsortium, hat k\u00fcrzlich die neuesten Ergebnisse seiner KI-Benchmarking-Tests bekannt gegeben.<\/span><\/p>\n<p><span style=\"font-weight: 400\"> Die erste Benchmark-Runde trug die Bezeichnung v3.0, mit der die Effizienz des Trainings von Modellen des maschinellen Lernens bewertet wird. Eine weitere Runde, Tiny v1.1, untersucht ML-Anwendungen f\u00fcr ultrakompakte Ger\u00e4te mit geringem Stromverbrauch.<\/span><\/p>\n<p><span style=\"font-weight: 400\">An der MLPerf-Runde v3.0 waren Unternehmen wie ASUSTek, Azure, Dell, Fujitsu, GIGABYTE, H3C, IEI, Intel &amp; Habana Labs, Krai, Lenovo, NVIDIA, NVIDIA + CoreWeave, Quanta Cloud Technology, Supermicro und xFusion beteiligt.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Insgesamt zeigten die Modelle Leistungsverbesserungen von bis zu 1,54x in den letzten 6 Monaten oder 33 bis 49x seit der ersten Runde, <\/span><a href=\"https:\/\/mlcommons.org\/en\/inference-datacenter-05\/\"><span style=\"font-weight: 400\">v0.5<\/span><\/a><span style=\"font-weight: 400\">im Jahr 2019, was das Tempo des Fortschritts bei maschinellen Lernsystemen verdeutlicht.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Nvidia gewann die Runde v3.0 dank seiner Ultra-High-End-H100-Chips, die sie wahrscheinlich auch in absehbarer Zukunft beibehalten werden. <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Die neuen H100 Grafikprozessoren von NVIDIA haben neue Benchmarks f\u00fcr KI-Trainingsaufgaben aufgestellt und dabei mehrere Rekorde gebrochen.  MLPerf wurde von einem Konsortium aus Forschern, Akademikern und anderen Spezialisten gegr\u00fcndet, die Benchmarks entwickelt haben, um zu testen, wie schnell Systeme KI-Modelle einsetzen und ausf\u00fchren k\u00f6nnen. Bei MLPerf handelt es sich im Wesentlichen um eine Reihe von Tests, mit denen die Geschwindigkeit und Effizienz von Hardware, Software und Dienstleistungen f\u00fcr maschinelles Lernen (ML) gemessen werden soll.  Nvidia, der weltweit f\u00fchrende Anbieter von KI-Hardware, testete einen Cluster aus 3.584 H100-Grafikprozessoren, um deren beeindruckende Geschwindigkeit zu testen.  Der Cluster wurde von dem KI-Startup Inflection AI mitentwickelt und von CoreWeave, einem Cloud-Anbieter, verwaltet.<\/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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