{"id":11164,"date":"2022-04-28T17:21:12","date_gmt":"2022-04-28T17:21:12","guid":{"rendered":"http:\/\/TheNextWeb=1385715"},"modified":"2022-04-28T17:21:12","modified_gmt":"2022-04-28T17:21:12","slug":"cerebras-systems-dinner-plate-sized-chips-are-revolutionizing-the-field-of-ai","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=11164","title":{"rendered":"Cerebras Systems\u2019 dinner plate-sized chips are revolutionizing the field of AI"},"content":{"rendered":"\n<div><img decoding=\"async\" src=\"https:\/\/img-cdn.tnwcdn.com\/image\/neural?filter_last=1&amp;fit=1280%2C640&amp;url=https%3A%2F%2Fcdn0.tnwcdn.com%2Fwp-content%2Fblogs.dir%2F1%2Ffiles%2F2022%2F04%2Fcerebras-chip.jpg&amp;signature=33b94c65c924c926aa93ff8a248753b1\" class=\"ff-og-image-inserted\"><\/div>\n<p>Bigger isn\u2019t always better, but sometimes it is. Cerebras Systems, a company bent on accelerating machine learning systems, built the world\u2019s largest chip last year. In the time since, it\u2019s developed bespoke solutions to some of the largest problems in the <a href=\"https:\/\/thenextweb.com\/topic\/artificial-intelligence\" target=\"_blank\" rel=\"noopener noreferrer\">AI<\/a> industry.<\/p>\n<p>Founded in 2015, Cerebras is a sort of reunion tour for most of its C-suite executives. Prior to building chips the size of dinner plates, the team was responsible for Sea Micro, a company founded in 2007 that eventually sold to AMD for more than $330 million in 2012.<\/p>\n<p>Cerebras Systems is now <a href=\"https:\/\/www.bloomberg.com\/news\/articles\/2021-11-10\/artificial-intelligence-chip-startup-nabs-4-billion-valuation#:~:text=AI%20Chip%20Startup%20Cerebras%20Is,More%20Than%20%244%20Billion%20%2D%20Bloomberg\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">valued at more than $4 billion<\/a>.<\/p>\n<p>I interviewed Cerebras Systems co-founder and CEO Andrew Feldman to find out how his company was bellying up to the hardware bar in 2022 \u2014 an era marked by big tech\u2019s domination of the <a href=\"https:\/\/thenextweb.com\/topic\/artificial-intelligence\" target=\"_blank\" rel=\"noopener noreferrer\">AI<\/a> industry.<\/p>\n<p>Feldman seemed unaffected by the prospect of competition from Silicon Valley\u2019s elite.<\/p>\n<p>According to him, Cerebras was built from the ground up to take on all comers:<\/p>\n<blockquote readability=\"5\">\n<p>From day one we wanted to be in the Computer History Museum. We wanted to be in the hall of fame.<\/p>\n<\/blockquote>\n<p>That might sound like hubris to the outsider, but the dog-eat-dog world (or more aptly, big-dog-buys-little-dog-and-absorbs-its-technology world) of computer hardware is no place for the meek.<\/p>\n<p>In order for Cerebras to make its mark, Feldman and his team relied on their proven track record of success and ultra-high ambitions to secure entry into the market.<\/p>\n<p>Per Feldman:<\/p>\n<blockquote readability=\"7\">\n<p>We\u2019re system builders, which means we are unafraid of difficult problems\u2026 if you\u2019re 100-times better than (big tech\u2019s best efforts) then there\u2019s nothing they can do.<\/p>\n<\/blockquote>\n<p>So the <i>big<\/i><span> question is, are Cererbras\u2019 humongous chips that much better than the competition\u2019s? <\/span><\/p>\n<p><span>The answer: <em>there really isn\u2019t any competition<\/em>. Its chips are more than 50X larger than the biggest GPU on the market (the kind of chip typically used to train machine learning systems). <\/span><\/p>\n<figure>\n<p> <iframe srcdoc=\"\n\n<style>*{padding:0;margin:0;overflow:hidden}html,body{background:#000;height:100%}img{position:absolute;top:0;left:0;width:100%;height:100%;object-fit:cover;transition:opacity .1s cubic-bezier(0.4,0,1,1)}a:hover img+img{opacity:1!important}<\/style>\n<p><a href='https:\/\/www.youtube.com\/embed\/DdlbVLrw820?feature=oembed&amp;autoplay=1&amp;mute=1&amp;modestbranding=1&amp;iv_load_policy=3&amp;theme=light&amp;playsinline=1'><img src='https:\/\/img.youtube.com\/vi\/DdlbVLrw820\/hqdefault.jpg'><img src='https:\/\/cdn0.tnwcdn.com\/wp-content\/themes\/cyberdelia\/assets\/img\/ytplaybtn.png' style='top: 50%;left:50%;width:68px;height:48px;transform:translate3d(-50%,-50%,0)'><img src='https:\/\/cdn0.tnwcdn.com\/wp-content\/themes\/cyberdelia\/assets\/img\/ytplaybtn-hover.png' style='top: 50%;left:50%;width:68px;height:48px;opacity:0;transform:translate3d(-50%,-50%,0)'><\/a>&#8221; height=&#8221;240&#8243; width=&#8221;320&#8243; allow=&#8221;accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture&#8221; allowfullscreen frameborder=&#8221;0&#8243;>[embedded content]<\/iframe> <\/p>\n<\/figure>\n<p> <!--resp-video-container--><\/p>\n<p><span>According to Cerebras\u2019 website, the company\u2019s CS-2 system, built on its WSE-2 \u201cwafer\u201d chips, can replace an entire rack of processors typically used to train AI models:<\/span><\/p>\n<blockquote readability=\"13\">\n<p><span>A single CS-2 typically delivers the wall-clock compute performance of many tens to hundreds of graphics processing units (GPU), or more. In one system less than one rack in size, the CS-2 delivers answers in minutes or hours that would take days, weeks, or longer on large multi-rack clusters of legacy, general purpose processors.<\/span><\/p>\n<\/blockquote>\n<p><span>Based on the benchmarks the company\u2019s published, the CS-2 not only offers performance advantages, but it also has the potential to massively reduce the amount of power consumed during AI training sessions. This is a win for businesses trying to solve extremely hard problems and for the planet. <\/span><\/p>\n<p><span>To learn more about Cerebras Systems, check out the white paper for the CS-2 <a href=\"https:\/\/f.hubspotusercontent30.net\/hubfs\/8968533\/Cerebras-CS-2-Whitepaper.pdf\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">here<\/a> and the company website <a href=\"https:\/\/cerebras.net\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">here<\/a>. <\/span><\/p>\n<p> <a href=\"https:\/\/thenextweb.com\/news\/cerebras-systems-dinner-plate-sized-chips-are-revolutionizing-field-of-ai\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bigger isn\u2019t always better, but sometimes it is. Cerebras Systems, a company bent on accelerating machine learning systems, built the world\u2019s largest chip last year. In the time since, it\u2019s developed bespoke&#8230;<\/p>\n","protected":false},"author":1,"featured_media":11165,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/11164"}],"collection":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11164"}],"version-history":[{"count":0,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/posts\/11164\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=\/wp\/v2\/media\/11165"}],"wp:attachment":[{"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11164"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11164"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.londonchiropracter.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}