{"id":2891,"date":"2023-07-22T21:03:12","date_gmt":"2023-07-22T21:03:12","guid":{"rendered":"https:\/\/dailyai.com\/?p=2891"},"modified":"2023-07-22T23:06:22","modified_gmt":"2023-07-22T23:06:22","slug":"as-demand-for-ai-hardware-surges-startups-are-looking-for-a-slice-of-the-pie","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/07\/as-demand-for-ai-hardware-surges-startups-are-looking-for-a-slice-of-the-pie\/","title":{"rendered":"Efterfr\u00e5gan p\u00e5 AI-h\u00e5rdvara \u00f6kar kraftigt och nystartade f\u00f6retag vill ha en del av kakan"},"content":{"rendered":"<p><b>As tech companies seek high-end chips to train their AI models, startups are queuing to alleviate the demand from giants like Nvidia.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Nvidia joined the \u2018$1 trillion\u2019 club\u2019 <\/span><a href=\"https:\/\/dailyai.com\/2023\/05\/nvidia-market-value-briefly-touches-the-coveted-1-trillion-mark\/\"><span style=\"font-weight: 400;\">in May<\/span><\/a><span style=\"font-weight: 400;\">, its growth fueled by tremendous demand for high-end chips designed for AI, including the A100 and H100.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These chips are used by many of the big players in AI, including Inflection, Microsoft, Meta, and OpenAI, though a handful of companies produce their own chips, including Google.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The current supply of high-end chips simply isn\u2019t meeting demand, leaving a gap in the market for smaller companies such as SambaNova, Graphcore, and Tenstorrent, which have raised over $3bn for their AI hardware in recent years.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another AI chip manufacturing startup, Cerebras, <a href=\"https:\/\/www.cerebras.net\/press-release\/cerebras-and-g42-unveil-worlds-largest-supercomputer-for-ai-training-with-4-exaflops-to-fuel-a-new-era-of-innovation\">recently announced<\/a> a collaboration to build a network of supercomputers for UAE-based tech group G42.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cerebras&#8217; CEO, Andrew Feldman, said of the deal, &#8220;AI has an insatiable demand for compute. When you&#8217;re David fighting Goliath, you look for cracks&#8230; [Nvidia&#8217;s] inability to meet demand is just such a crack.&#8221;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Talal Alkaissi, CEO of G42 Cloud, said, &#8220;People can\u2019t get the hardware they want, or it\u2019s too expensive. The market is hungry for alternatives.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">G42 plans to resell excess capacity to other customers via cloud-computing platforms.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Demand for AI chips at record highs<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Major tech firms are developing their own semiconductors, such as Amazon Web Services, which launched its custom chip, Trainium, in 2020.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Google Cloud has offered customers Tensor Processing Units (TPUs) for several years and recently developed a <a href=\"https:\/\/www.fool.com\/investing\/2023\/04\/06\/alphabet-says-googles-latest-ai-chip-is-17-times-f\/\">high-end chip<\/a> that rivals Nvidia\u2019s A100 and H100. Elon Musk\u2019s new AI company xAI also intends <\/span><a href=\"https:\/\/dailyai.com\/2023\/07\/musks-mission-for-xai-is-to-find-out-what-the-hell-is-really-going-on\/\"><span style=\"font-weight: 400;\">to use custom chips<\/span><\/a><span style=\"font-weight: 400;\"> developed by\/in collaboration with Tesla.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Europe, Axelera AI, based in the Netherlands, is developing AI chips designed for cars, medical devices, and security cameras rather than cloud and data centers, where Nvidia&#8217;s chips are in high demand.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Axelera CEO Fabrizio Del Maffeo stated, \u201cI always said since day one it\u2019s crazy to go against a trillion-dollar company with unlimited resources.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If a company can build high-end chips for AI purposes, the market is undoubtedly there. But that\u2019s a big if, as chips are notoriously complex to develop and manufacture.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Teknikf\u00f6retag s\u00f6ker avancerade chip f\u00f6r att tr\u00e4na sina AI-modeller, och nystartade f\u00f6retag st\u00e5r i k\u00f6 f\u00f6r att minska efterfr\u00e5gan fr\u00e5n j\u00e4ttar som Nvidia. Nvidia gick med i \"$1 biljoner\"-klubben i maj, och tillv\u00e4xten drevs p\u00e5 av en enorm efterfr\u00e5gan p\u00e5 avancerade chip avsedda f\u00f6r AI, inklusive A100 och H100.  Dessa chip anv\u00e4nds av m\u00e5nga av de stora akt\u00f6rerna inom AI, inklusive Inflection, Microsoft, Meta och OpenAI, \u00e4ven om en handfull f\u00f6retag producerar sina egna chip, inklusive Google.  Det nuvarande utbudet av avancerade chip m\u00f6ter helt enkelt inte efterfr\u00e5gan, vilket l\u00e4mnar ett gap p\u00e5 marknaden f\u00f6r mindre f\u00f6retag som SambaNova, Graphcore och<\/p>","protected":false},"author":2,"featured_media":2892,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[241,207,106,100],"class_list":["post-2891","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-chips","tag-llm","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>Demand for AI hardware is surging and startups are looking for a slice of the pie | DailyAI<\/title>\n<meta name=\"description\" content=\"The world\u2019s tech companies need high-end chips for building AI training infrastructure, and startups are cueing up to 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