{"id":11460,"date":"2024-04-10T12:15:41","date_gmt":"2024-04-10T12:15:41","guid":{"rendered":"https:\/\/dailyai.com\/?p=11460"},"modified":"2024-04-10T12:15:41","modified_gmt":"2024-04-10T12:15:41","slug":"intel-and-google-unveil-new-ai-chips-to-compete-with-nvidia","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/04\/intel-and-google-unveil-new-ai-chips-to-compete-with-nvidia\/","title":{"rendered":"Intel und Google stellen neue KI-Chips vor, um mit NVIDIA zu konkurrieren"},"content":{"rendered":"<p><strong>Der Wettlauf um leistungsst\u00e4rkere und effizientere KI-Hardware hat sich in dieser Woche beschleunigt: Intel und Google k\u00fcndigten neue Chips an, die sie unabh\u00e4ngiger von der NVIDIA-Technologie machen sollen.<\/strong><\/p>\n<p>Es scheint, dass jede Woche neue KI-Modelle ver\u00f6ffentlicht werden. Hinter jeder Ver\u00f6ffentlichung stehen wochenlange Trainings in Cloud-Computing-Rechenzentren, von denen die meisten von NVIDIA-GPUs angetrieben werden.<\/p>\n<p>Sowohl Intel als auch Google haben neue hauseigene KI-Chips angek\u00fcndigt, die gro\u00dfe KI-Modelle schneller trainieren und einsetzen k\u00f6nnen und dabei weniger Strom verbrauchen.<\/p>\n<h2>Intels KI-Beschleuniger-Chip Gaudi 3<\/h2>\n<p>Intel ist wahrscheinlich besser bekannt f\u00fcr die Chips, die Ihren PC antreiben, aber am Dienstag hat das Unternehmen <a href=\"https:\/\/www.intc.com\/news-events\/press-releases\/detail\/1689\/intel-unleashes-enterprise-ai-with-gaudi-3-ai-open-systems\" target=\"_blank\" rel=\"noopener\">angek\u00fcndigt<\/a> seinen neuen KI-Chip namens Gaudi 3.<\/p>\n<p><a href=\"https:\/\/dailyai.com\/de\/2023\/06\/nvidias-h100-chips-smash-ai-training-and-deployment-records-in-benchmark-test\/\">NVIDIAs H100<\/a> GPUs haben den Gro\u00dfteil der KI-Rechenzentren gebildet, aber Intel sagt, dass Gaudi 3 \"im Durchschnitt 50% bessere Inferenz und 40% bessere Energieeffizienz als Nvidia H100 liefert - zu einem Bruchteil der Kosten.\"<\/p>\n<p>Ein wichtiger Faktor f\u00fcr die Energieeffizienz von Gaudi 3 ist, dass Intel f\u00fcr die Herstellung der Chips das 5nm-Verfahren von Taiwan Semiconductor Manufacturing Co verwendet.<\/p>\n<p>Intel machte keine Preisangaben, aber auf die Frage, wie es im Vergleich zu NVIDIAs Produkten abschneidet, sagte Das Kamhout, VP of Xeon Software bei Intel: \"Wir erwarten, dass es sehr wettbewerbsf\u00e4hig sein wird.\"<\/p>\n<p>Dell Technologies, Hewlett Packard Enterprise, Lenovo und Supermicro werden die ersten sein, die Gaudi 3 in ihren KI-Rechenzentren einsetzen.<\/p>\n<p>Intel-CEO Pat Gelsinger fasste die KI-Ambitionen des Unternehmens mit den Worten zusammen: \"Intel bringt KI \u00fcberall in das Unternehmen, vom PC \u00fcber das Rechenzentrum bis hin zum Edge.\"<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Die <a href=\"https:\/\/twitter.com\/hashtag\/IntelGaudi?src=hash&amp;ref_src=twsrc%5Etfw\">#IntelGaudi<\/a> 3 <a href=\"https:\/\/twitter.com\/hashtag\/AI?src=hash&amp;ref_src=twsrc%5Etfw\">#AI<\/a> Beschleuniger bietet eine \u00e4u\u00dferst wettbewerbsf\u00e4hige Alternative zu NVIDIAs H100 mit h\u00f6herer Leistung, besserer Skalierbarkeit und PyTorch-Integration. Erfahren Sie mehr \u00fcber die wichtigsten Produktvorteile. <a href=\"https:\/\/t.co\/sXdQKjYFw0\">https:\/\/t.co\/sXdQKjYFw0<\/a> <a href=\"https:\/\/t.co\/iJSndBQkvT\">pic.twitter.com\/iJSndBQkvT<\/a><\/p>\n<p>- Intel AI (@IntelAI) <a href=\"https:\/\/twitter.com\/IntelAI\/status\/1777745065294622843?ref_src=twsrc%5Etfw\">9. April 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>Googles Arm und TPU-Upgrades<\/h2>\n<p>Am Dienstag k\u00fcndigte Google seine erste benutzerdefinierte <a href=\"https:\/\/cloud.google.com\/blog\/products\/compute\/introducing-googles-new-arm-based-cpu\" target=\"_blank\" rel=\"noopener\">Arm-basierte CPUs<\/a> den es f\u00fcr den Betrieb seiner Rechenzentren einsetzen will. Der neue Chip mit dem Namen Axion ist ein direkter Konkurrent zu den CPUs von Intel und AMD.<\/p>\n<p>Google behauptet, Axion liefere \"30% mehr Leistung als die schnellsten Arm-basierten Instanzen, die heute in der Cloud verf\u00fcgbar sind, bis zu 50% mehr Leistung und bis zu 60% mehr Energieeffizienz als vergleichbare x86-basierte Instanzen der aktuellen Generation.\"<\/p>\n<figure id=\"attachment_11462\" aria-describedby=\"caption-attachment-11462\" style=\"width: 648px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-11462 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/google_axion_cpu.jpg\" alt=\"\" width=\"648\" height=\"446\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/google_axion_cpu.jpg 648w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/google_axion_cpu-300x206.jpg 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/google_axion_cpu-60x41.jpg 60w\" sizes=\"auto, (max-width: 648px) 100vw, 648px\" \/><figcaption id=\"caption-attachment-11462\" class=\"wp-caption-text\">Die neue Arm-basierte Axion-CPU von Google. Quelle: Google<\/figcaption><\/figure>\n<p>Google hat mehrere seiner Dienste wie YouTube und Google Earth auf seine Arm-basierten Server der aktuellen Generation verlagert, die bald mit den Axion-Chips aufger\u00fcstet werden sollen.<\/p>\n<p>Eine leistungsstarke Arm-basierte Option erleichtert es Kunden, ihre CPU-basierten KI-Trainings-, Inferencing- und andere Anwendungen auf die Cloud-Plattform von Google zu migrieren, ohne sie neu entwickeln zu m\u00fcssen.<\/p>\n<p>F\u00fcr das Training von Modellen in gro\u00dfem Ma\u00dfstab hat sich Google weitgehend auf seine TPU-Chips als Alternative zu NVIDIAs Hardware verlassen. Diese werden ebenfalls mit einem einzigen neuen TPU v5p aufger\u00fcstet, der nun mehr als doppelt so viele Chips enth\u00e4lt wie der aktuelle TPU v4-Pod.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">TPU v5p, unsere leistungsst\u00e4rkste und skalierbarste TPU, ist jetzt allgemein verf\u00fcgbar! <a href=\"https:\/\/twitter.com\/hashtag\/GoogleCloudNext?src=hash&amp;ref_src=twsrc%5Etfw\">#GoogleCloudNext<\/a> <a href=\"https:\/\/t.co\/mmfWlzHeqs\">pic.twitter.com\/mmfWlzHeqs<\/a><\/p>\n<p>- Google Cloud Tech (@GoogleCloudTech) <a href=\"https:\/\/twitter.com\/GoogleCloudTech\/status\/1777732890471625162?ref_src=twsrc%5Etfw\">9. April 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Google will weder seine neuen Arm-Chips noch seine TPUs verkaufen. Das Unternehmen will eher seine Cloud-Computing-Dienste vorantreiben, als ein direkter Hardware-Konkurrent von NVIDIA zu werden.<\/p>\n<p>Die aufger\u00fcsteten TPUs werden Google einen Schub f\u00fcr die <a href=\"https:\/\/cloud.google.com\/blog\/products\/compute\/whats-new-with-google-clouds-ai-hypercomputer-architecture\" target=\"_blank\" rel=\"noopener\">KI-Hypercomputer<\/a> die das Training von KI-Modellen in gro\u00dfem Ma\u00dfstab erm\u00f6glicht. Der KI-Hypercomputer verwendet auch NVIDIA H100-Grafikprozessoren, die laut Google bald durch NVIDIAs neue <a href=\"https:\/\/dailyai.com\/de\/2024\/03\/nvidia-unveils-new-chips-tools-and-omniverse-at-gtc-event\/\">Blackwell-GPUs<\/a>.<\/p>\n<p>Die Nachfrage nach KI-Chips wird sich in absehbarer Zeit nicht verlangsamen, und es sieht nicht mehr so sehr nach einem Ein-Pferd-Rennen f\u00fcr NVIDIA aus wie fr\u00fcher.<\/p>","protected":false},"excerpt":{"rendered":"<p>Der Wettlauf um leistungsf\u00e4higere und effizientere KI-Hardware hat sich diese Woche beschleunigt. Intel und Google k\u00fcndigten neue Chips an, die sie unabh\u00e4ngiger von der NVIDIA-Technologie machen sollen. Es scheint, dass jede Woche neue KI-Modelle ver\u00f6ffentlicht werden. Hinter jeder Ver\u00f6ffentlichung steht ein wochenlanges Training in Cloud-Computing-Rechenzentren, von denen die meisten mit NVIDIA-GPUs betrieben werden. Sowohl Intel als auch Google haben neue hauseigene KI-Chips angek\u00fcndigt, die gro\u00dfe KI-Modelle schneller trainieren und einsetzen k\u00f6nnen und dabei weniger Strom verbrauchen. Der KI-Beschleunigerchip Gaudi 3 von Intel Intel ist wahrscheinlich besser bekannt f\u00fcr die Chips, die Ihren PC antreiben<\/p>","protected":false},"author":6,"featured_media":11463,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[102,592],"class_list":["post-11460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-google","tag-intel"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Intel and Google unveil new AI chips to compete with NVIDIA | 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\/de\/2024\/04\/intel-and-google-unveil-new-ai-chips-to-compete-with-nvidia\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intel and Google unveil new AI chips to compete with NVIDIA | DailyAI\" \/>\n<meta property=\"og:description\" content=\"The race for more powerful and efficient AI hardware surged ahead this week with Intel and Google announcing new chips to help them become less reliant on NVIDIA tech. It seems like every week new AI models are being released. Behind each release are weeks of training on cloud computing data centers, most of which are powered by NVIDIA GPUs. Intel and Google both announced new in-house AI chips that can train and deploy big AI models faster while using less power. Intel\u2019s Gaudi 3 AI accelerator chip Intel is probably better known for the chips that power your PC\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/de\/2024\/04\/intel-and-google-unveil-new-ai-chips-to-compete-with-nvidia\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-10T12:15:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/Intel-Google-new-chips.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\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 name=\"twitter:label1\" 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