{"id":9012,"date":"2024-01-09T08:57:19","date_gmt":"2024-01-09T08:57:19","guid":{"rendered":"https:\/\/dailyai.com\/?p=9012"},"modified":"2024-01-12T07:01:42","modified_gmt":"2024-01-12T07:01:42","slug":"nvidia-announces-new-chips-and-tools-for-on-device-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/01\/nvidia-announces-new-chips-and-tools-for-on-device-ai\/","title":{"rendered":"NVIDIA k\u00fcndigt neue Chips und Tools f\u00fcr On-Device-KI an"},"content":{"rendered":"<p><strong>NVIDIA nutzte den Er\u00f6ffnungstag der CES, um eine Reihe neuer Grafikprozessoren, Grafikkarten und Entwickler-Tools anzuk\u00fcndigen, die auf die Erstellung und Ausf\u00fchrung von KI-Modellen und -Anwendungen auf lokalen Ger\u00e4ten ausgerichtet sind.<\/strong><\/p>\n<p>Die meiste Aufmerksamkeit, die das Unternehmen im vergangenen Jahr erhielt, konzentrierte sich auf die <a href=\"https:\/\/dailyai.com\/de\/2023\/11\/nvidia-achieves-record-18b-q3-revenue-crediting-generative-ai\/\">Nachfrage nach seinen GPUs<\/a> die gro\u00dfe Rechenzentren antreiben. Mit dieser Ank\u00fcndigung kehrt NVIDIA zu seinen Wurzeln zur\u00fcck und konzentriert sich auf die Bereitstellung von generativer KI auf Laptops und PCs.<\/p>\n<p>Die GeForce RTX SUPER Desktop-GPUs werden eine Reihe von neuen Laptops von Herstellern wie Acer, ASUS, Dell, HP, Lenovo, MSI, Razer und Samsung antreiben.<\/p>\n<p>Tensor Cores in diesen GPUs bieten signifikante KI-Leistungsverbesserungen, die laut NVIDIA zwischen dem 20- und 60-fachen im Vergleich zur Verwendung neuronaler Verarbeitungseinheiten liegen.\" Laut NVIDIA werden die ersten dieser Laptops noch in diesem Monat ausgeliefert.<\/p>\n<p>F\u00fcr Desktop-PC-Nutzer hat NVIDIA seine neuen GeForce RTX 40 SUPER Series Grafikkarten angek\u00fcndigt. Die RTX 4060 Super, RTX 4070 Ti Super und RTX 4080 Super liegen im Preisbereich zwischen $599 und $999. Diese Karten fallen alle unter das Radar der US <a href=\"https:\/\/dailyai.com\/de\/2023\/11\/nvidia-outflanks-us-ai-hardware-export-bans-again\/\">Ausfuhrkontrollen<\/a> Beschr\u00e4nkung der Lieferung von KI-Technologien nach China.<\/p>\n<p>Die GeForce RTX 4080 SUPER erzeugt KI-Videos 1,5x schneller und Bilder 1,7x schneller als ihr Vorg\u00e4nger, die GeForce RTX 3080 Ti GPU.<\/p>\n<p>Eine Hardware, die in der Lage ist, LLMs lokal auszuf\u00fchren, hat gro\u00dfe Vorteile.<\/p>\n<ul>\n<li>Kosten: Keine Cloud-gehostete API oder Infrastrukturkosten f\u00fcr LLM-Inferenz.<\/li>\n<li>Immer eingeschaltet: Es ist keine Internetverbindung erforderlich.<\/li>\n<li>Leistung: Geringe Latenzzeit oder sogar Echtzeit-Inferenz.<\/li>\n<li>Schutz der Daten: Die Daten k\u00f6nnen immer auf dem Ger\u00e4t verbleiben und m\u00fcssen nicht \u00fcber Cloud-Server geleitet werden.<\/li>\n<\/ul>\n<h2>Neue AI-Entwickler-Tools<\/h2>\n<p>Jensen Huang, Gr\u00fcnder und CEO von NVIDIA, sagte: \"Generative KI ist der bedeutendste Plattformwechsel in der Geschichte der Computertechnik und wird jede Branche ver\u00e4ndern, auch die Spieleindustrie. Mit \u00fcber 100 Millionen RTX AI PCs und Workstations bietet NVIDIA eine massive installierte Basis f\u00fcr Entwickler und Gamer, um die Magie der generativen KI zu genie\u00dfen.\"<\/p>\n<p>Mit anderen Worten: Es gibt viele Nutzer mit leistungsstarker Hardware, die nur darauf warten, KI-gesteuerte Spiele und Anwendungen zu nutzen.<\/p>\n<p>NVIDIAs AI Workbench wird noch in diesem Monat als Beta-Version verf\u00fcgbar sein. Sie bietet Entwicklern eine vereinfachte Schnittstelle zur Entwicklung von Projekten auf Hugging Face, GitHub und NVIDIA NGC.<\/p>\n<p>Es erm\u00f6glicht Entwicklern, ihre Projekte zu entwickeln, auszuf\u00fchren und zwischen Rechenzentren und lokalen Rechnern hin und her zu migrieren.<\/p>\n<p>Die KI ver\u00e4ndert bereits die Entwicklung von Computerspielen. NVIDIA RTX Remix wird Ihren Lieblingsklassikern neues Leben einhauchen.<\/p>\n<p>Das Tool erfasst Szenen und Elemente in einem \u00e4lteren Spiel und skaliert die Aufl\u00f6sung auf bis zu 4K hoch. Es verbessert auch Texturen und Details und erm\u00f6glicht die \u00c4nderung von Elementen im Spiel.<\/p>\n<p>Diese Demo zeigt, wie erstaunlich einige dieser \u00e4lteren Spiele nach ein wenig generativer KI-Magie aussehen k\u00f6nnen.<\/p>\n<p><iframe loading=\"lazy\" title=\"Einfaches Remastering klassischer Spiele mit NVIDIA RTX Remix\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/Vg52-HZhrFc?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>\n<p>Um beim Thema Gaming zu bleiben, k\u00fcndigte NVIDIA auch die NVIDIA Avatar Cloud Engine (ACE) an. Mit diesem Tool k\u00f6nnen Spieleentwickler mithilfe generativer KI digitale Avatare erstellen, die in der Cloud oder lokal auf dem PC laufen. Diese Avatare arbeiten nahtlos mit Anwendungen von Drittanbietern wie Unreal Engine 5 zusammen.<\/p>\n<p>Chat mit RTX wird ebenfalls noch in diesem Monat verf\u00fcgbar sein. Dieser nutzt die Retrieval-Augmented Generation (RAG), um einen auf einem PC laufenden LLM mit den Daten eines Nutzers zu verbinden. Entwickler k\u00f6nnten dies nutzen, um Anwendungen wie pers\u00f6nliche Assistenten zu erstellen, bei denen der lokal ausgef\u00fchrte LLM spezifische Fragen zu den Benutzerdaten beantworten kann.<\/p>\n<p>Die CES hat gerade erst begonnen, so dass wir diese Woche weitere spannende Ank\u00fcndigungen von NVIDIA und anderen Unternehmen erwarten k\u00f6nnen.<\/p>","protected":false},"excerpt":{"rendered":"<p>NVIDIA nutzte den Er\u00f6ffnungstag der CES, um eine Reihe neuer Grafikprozessoren, Grafikkarten und Entwickler-Tools vorzustellen, die auf die Erstellung und Ausf\u00fchrung von KI-Modellen und -Anwendungen auf lokalen Ger\u00e4ten abzielen. Die meiste Aufmerksamkeit, die das Unternehmen im vergangenen Jahr erhielt, konzentrierte sich auf die Nachfrage nach seinen Grafikprozessoren, die gro\u00dfe Rechenzentren antreiben. Mit dieser Ank\u00fcndigung kehrt NVIDIA zu seinen Wurzeln zur\u00fcck und konzentriert sich auf den Einsatz von generativer KI auf Laptops und PCs. Die GeForce RTX SUPER Desktop-GPUs werden eine Reihe von neuen Laptops von Herstellern wie Acer, ASUS, Dell, HP, Lenovo, MSI, Razer und Samsung antreiben. Tensor<\/p>","protected":false},"author":6,"featured_media":9014,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[106],"class_list":["post-9012","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 announces new chips and tools for on-device AI | 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\/01\/nvidia-announces-new-chips-and-tools-for-on-device-ai\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA announces new chips and tools for on-device AI | DailyAI\" \/>\n<meta property=\"og:description\" content=\"NVIDIA used the opening day of CES to announce a range of new GPUs, graphics cards, and developer tools aimed at building and running AI models and applications on local devices. 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