{"id":10802,"date":"2024-03-19T09:19:02","date_gmt":"2024-03-19T09:19:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=10802"},"modified":"2024-03-28T09:34:30","modified_gmt":"2024-03-28T09:34:30","slug":"nvidia-unveils-new-chips-tools-and-omniverse-at-gtc-event","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/03\/nvidia-unveils-new-chips-tools-and-omniverse-at-gtc-event\/","title":{"rendered":"NVIDIA stellt auf der GTC neue Chips, Tools und Omniverse vor"},"content":{"rendered":"<p><strong>NVIDIA hat auf seiner GTC-Veranstaltung eine Reihe neuer Hardware, Rechenplattformen und Simulations-Engines angek\u00fcndigt, die die Entwicklung von generativer KI und Robotik beschleunigen sollen.<\/strong><\/p>\n<p>Gestern stellte Jensen Huang, Gr\u00fcnder und CEO von NVIDIA, die neuesten Produkte vor, die das Unternehmen den Entwicklern der KI-L\u00f6sungen von morgen zur Verf\u00fcgung stellen wird.<\/p>\n<p>Huang sagte: \"Das beschleunigte Rechnen hat den Wendepunkt erreicht. Dem Allzweck-Computing ist die Luft ausgegangen. Wir brauchen eine andere Art der Datenverarbeitung, damit wir die Skalierung fortsetzen k\u00f6nnen, damit wir die Kosten f\u00fcr die Datenverarbeitung weiter senken k\u00f6nnen, damit wir immer mehr Daten verbrauchen k\u00f6nnen und gleichzeitig nachhaltig sind.\"<\/p>\n<p>Um die KI-Infrastruktur der Welt massiv aufzur\u00fcsten, stellte Huang die folgenden neuen Hardware- und Softwarel\u00f6sungen vor:<\/p>\n<ul>\n<li>Die Blackwell-GPU- und -Rechenplattform<\/li>\n<li>NVIDIA DGX SuperPOD Supercomputer<\/li>\n<li>NIM-Microservices - ein neuer Weg zur Entwicklung von KI-Software<\/li>\n<li>Omniverse - ein Realit\u00e4tssimulator f\u00fcr die Ausbildung von Robotern<\/li>\n<li>Isaac Perceptor Software und Projekt GR00T - ein allgemeines Grundmodell f\u00fcr humanoide Roboter und Robotiksoftware<\/li>\n<\/ul>\n<p>Hier ein genauerer Blick auf diese spannenden Neuerscheinungen.<\/p>\n<h2>Blackwell<\/h2>\n<p>Huang sagte, dass die Industrie f\u00fcr das multimodale Training immer gr\u00f6\u00dferer KI-Modelle viel gr\u00f6\u00dfere GPUs ben\u00f6tigt. NVIDIA behauptet, sein neuer Blackwell-Chip sei \"der gr\u00f6\u00dfte physisch m\u00f6gliche Chip\" und enthalte 104 Milliarden Transistoren.<\/p>\n<p>Die Verbindung von zwei von ihnen zu einem Grafikprozessor bringt eine erhebliche Steigerung der Verarbeitungsleistung. Blackwell liefert das 2,5-fache von NVIDIAs <a href=\"https:\/\/dailyai.com\/de\/2023\/08\/nvidias-updated-superchip-promises-huge-ai-advancements\/\">Trichter<\/a> Architekturleistung in FP8 f\u00fcr Training, pro Chip, und 5x mit FP4 f\u00fcr Inferenz.<\/p>\n<p>Das NVLink-Interconnect, das diese Grafikprozessoren verbindet, ist doppelt so schnell wie sein Vorg\u00e4nger und erm\u00f6glicht den Anschluss von 576 Blackwell-GPUs.<\/p>\n<p>Die Verbindung von zwei Blackwell-GPUs und einer Grace-CPU ergibt den Grace Blackwell Superchip, der die Grundlage f\u00fcr NVIDIAs GB200 NVL2-Racks bildet. Diese liefern Exaflop-Rechenleistung in einem einzigen Rack.<\/p>\n<p>NVIDIA hat einige davon zu seinem neuen KI-Supercomputer namens NVIDIA DGX SuperPOD verbunden, der 11,5 Exaflops KI-Supercomputing bei FP4-Pr\u00e4zision liefert.<\/p>\n<p>In der Pressemitteilung werden AWS, Google Cloud, Microsoft Azure und Oracle als erste Interessenten f\u00fcr die neue Computing-Hardware genannt, die laut NVIDIA in der Lage ist, \"generative KI in Echtzeit auf gro\u00dfen Sprachmodellen mit Billionen von Parametern zu erstellen und auszuf\u00fchren, und das bei bis zu 25-mal geringeren Kosten und geringerem Energieverbrauch als die Vorg\u00e4ngerversion\".<\/p>\n<p>So sehen die Fortschritte von NVIDIA im Bereich Computing in den letzten 8 Jahren aus.<\/p>\n<figure id=\"attachment_10810\" aria-describedby=\"caption-attachment-10810\" style=\"width: 1920px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-10810 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison.webp\" alt=\"\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison.webp 1920w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-300x169.webp 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-1024x576.webp 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-768x432.webp 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-1536x864.webp 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-370x208.webp 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-800x450.webp 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-20x11.webp 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-740x416.webp 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-1600x900.webp 1600w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/Blackwell-comparison-85x48.webp 85w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><figcaption id=\"caption-attachment-10810\" class=\"wp-caption-text\">Der Grace Blackwell Superchip stellt eine 1000-fache Steigerung der KI-Rechenleistung von NVIDIA in den letzten 8 Jahren dar. Quelle: NVIDIA<\/figcaption><\/figure>\n<h2>NVIDIA NIMs<\/h2>\n<p>\"Wie werden wir in Zukunft Software entwickeln? Es ist unwahrscheinlich, dass man sie von Grund auf neu schreibt oder einen ganzen Haufen Python-Code oder etwas \u00c4hnliches\", sagte Huang. \"Es ist sehr wahrscheinlich, dass man ein Team von KIs zusammenstellt.\"<\/p>\n<p>Huang sagte, dass Unternehmen, anstatt Software zu schreiben, \"KI-Modelle zusammenstellen, ihnen Auftr\u00e4ge erteilen, Beispiele f\u00fcr Arbeitsprodukte geben, Pl\u00e4ne \u00fcberpr\u00fcfen und Zwischenergebnisse liefern\".<\/p>\n<p>NVIDIA hat eine Sammlung von vorgefertigten Containern oder Microservices mit der Bezeichnung NIM (NVIDIA Inference Microservice) auf den Markt gebracht.<\/p>\n<p>NIMs sind wie kleine Boxen mit KI-Software, die ein vortrainiertes Modell, APIs und andere Softwarekomponenten enthalten. Unternehmen werden diese \u00e4hnlich wie GPTs oder Zapier einsetzen k\u00f6nnen, anstatt die Funktionalit\u00e4t von Grund auf neu zu entwickeln.<\/p>\n<h2>Omniversum<\/h2>\n<p>Die verk\u00f6rperte KI, oder physische KI, ist der Bereich, in dem derzeit viele Entwicklungen stattfinden. Das Training von Robotern in der realen Welt ist teuer und ineffizient, und NVIDIA sagt, dass es die L\u00f6sung f\u00fcr dieses Problem hat.<\/p>\n<p>Omniverse ist eine Simulationsmaschine f\u00fcr die virtuelle Welt, die wie ein virtuelles \"Fitnessstudio\" f\u00fcr einen Roboter fungiert, um die Artikulation und die Physik der Interaktion mit der realen Welt zu erlernen.<\/p>\n<p>NVIDIA bietet Entwicklern API-Zugang, um ihre Roboter in Omniverse zu trainieren. Entwickler k\u00f6nnen einen digitalen Zwilling eines physischen Raums, z. B. eines Lagers, erstellen und automatisierte Ger\u00e4te und Roboter optimieren, bevor sie im physischen Raum eingesetzt werden.<\/p>\n<h2>Isaac-Software und Projekt GR00T<\/h2>\n<p>Huang k\u00fcndigte neue Software zur Unterst\u00fctzung von Robotik-Entwicklern an. Die Software Isaac Perceptor und die Bibliothek Isaac Manipulator werden Robotern helfen, ihre Umgebung zu sehen, zu navigieren und zu manipulieren.<\/p>\n<p>NVIDIA stellte au\u00dferdem das Projekt GR00T (General Robotics 003) vor, ein universell einsetzbares Grundmodell f\u00fcr humanoide Roboter. Dieses Modell wird zusammen mit der Isaac Perceptor Software auf einem neuen Computer, dem Jetson Thor, laufen, um Roboter im Omniversum zu trainieren und sie dann ohne Vorwarnung in der realen Welt einzusetzen.<\/p>\n<p>Am ersten Tag der GTC gab es einige wichtige neue technische Ank\u00fcndigungen, die den Aktienkurs von NVIDIA wahrscheinlich weiter steigen lassen werden. Es wird interessant sein, zu sehen, welche weiteren \u00dcberraschungen Huang in den n\u00e4chsten Tagen f\u00fcr uns bereith\u00e4lt.<\/p>\n<p>Die Keynote von Huang k\u00f6nnen Sie hier ansehen.<\/p>\n<p><iframe loading=\"lazy\" title=\"GTC M\u00e4rz 2024 Keynote mit NVIDIA CEO Jensen Huang\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/Y2F8yisiS6E?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>","protected":false},"excerpt":{"rendered":"<p>NVIDIA hat auf seiner GTC-Veranstaltung eine Reihe neuer Hardware, Computing-Plattformen und Simulations-Engines angek\u00fcndigt, die die Entwicklung von generativer KI und Robotik beschleunigen sollen. Gestern stellte Jensen Huang, Gr\u00fcnder und CEO von NVIDIA, die neuesten Produkte vor, die das Unternehmen den Entwicklern der KI-L\u00f6sungen von morgen zur Verf\u00fcgung stellen wird. Huang sagte: \"Accelerated Computing hat den Wendepunkt erreicht. Dem Allzweck-Computing ist die Luft ausgegangen. Wir brauchen eine andere Art der Datenverarbeitung, damit wir weiter skalieren k\u00f6nnen, damit wir die Kosten f\u00fcr die Datenverarbeitung weiter senken k\u00f6nnen, damit wir immer mehr Daten verbrauchen k\u00f6nnen.<\/p>","protected":false},"author":6,"featured_media":10804,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[106],"class_list":["post-10802","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 v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA unveils new chips, tools, and Omniverse at GTC event | 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\/03\/nvidia-unveils-new-chips-tools-and-omniverse-at-gtc-event\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA unveils new chips, tools, and Omniverse at GTC event | DailyAI\" \/>\n<meta property=\"og:description\" content=\"NVIDIA announced a range of new hardware, computing platforms, and simulation engines aimed at accelerating the development of generative AI and robotics at its GTC event. 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