{"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\/es\/2023\/07\/as-demand-for-ai-hardware-surges-startups-are-looking-for-a-slice-of-the-pie\/","title":{"rendered":"Aumenta la demanda de hardware de inteligencia artificial y las nuevas empresas buscan un trozo del pastel"},"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>Mientras las empresas tecnol\u00f3gicas buscan chips de gama alta para entrenar sus modelos de IA, las startups hacen cola para aliviar la demanda de gigantes como Nvidia. Nvidia se uni\u00f3 al club de los \"$1 billones\" en mayo, con un crecimiento impulsado por la enorme demanda de chips de gama alta dise\u00f1ados para la IA, como el A100 y el H100.  Estos chips son utilizados por muchos de los grandes actores de la IA, como Inflection, Microsoft, Meta y OpenAI, aunque un pu\u00f1ado de empresas producen sus propios chips, entre ellas Google.  La oferta actual de chips de gama alta simplemente no satisface la demanda, lo que deja un hueco en el mercado para empresas m\u00e1s peque\u00f1as como SambaNova, Graphcore, y<\/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 take the 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