{"id":2267,"date":"2023-12-26T09:37:43","date_gmt":"2023-12-26T01:37:43","guid":{"rendered":"https:\/\/www.1ai.net\/?p=2267"},"modified":"2023-12-26T09:37:43","modified_gmt":"2023-12-26T01:37:43","slug":"%e8%a1%8c%e4%b8%9a%e9%a2%86%e8%a2%96%e6%8e%a8%e5%8a%a8-ai-%e7%a1%ac%e4%bb%b6%e9%9d%a9%e6%96%b0%ef%bc%8c%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%a1%ac%e4%bb%b6%e9%a2%86%e5%9f%9f%e7%9a%84%e5%8d%81","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/2267.html","title":{"rendered":"Industry leaders drive AI hardware innovation, top ten outstanding figures in the field of artificial intelligence hardware"},"content":{"rendered":"

With the graphics processing unit (GPU<\/a>) shortage continues, companies and venture capitalists are scrambling to buy these chips to run powerful AI models. nvidia (Nvidia<\/a>), a chip giant leading the AI boom, announced plans to triple the production of the GPUs driving the AI revolution. Other hardware startups are also scrambling to develop AI processors.<\/p>\n

\"202308090826138648_0\"<\/p>\n

Insider names the AI that makes AI smarttop notch<\/span>\u00a0100 people, here is the ranked list in the hardware sector. TheseLeaders<\/span>from big companies like Google, Nvidia, and Intel, as well as startups like Cerebras and Ampere.<\/p>\n

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  1. David Brown.Amazon<\/a> AWS Services<\/strong>\u00a0Amazon is working to build its own custom chips in time for the generative AI boom. brown is the head of Amazon AWS services in charge of this effort. brown said at an event at amazon's seattle headquarters thatAmazon's own chips - Inferentia and Trainium - outperform competitors, including Nvidia, in terms of price performance<\/strong>.<\/li>\n
  2. Sanja Fidler, Nvidia<\/strong>\u00a0Fidler is vice president of AI research at Nvidia and heads the company's Toronto AI lab. She has authored more than 170 research papers and has a special interest in computer vision and neurographics.<\/li>\n
  3. Jack Hidary, SandboxAQ<\/strong>\u00a0Hidary is exploring the intersection of AI and quantum technology. His company, SandboxAQ, originally started as a research unit in Alphabet's X building, exploring how to run quantum workloads using the same chips that drive AI.<\/li>\n
  4. Sissie Hsiao, Google<\/strong>\u00a0Hsiao is responsible for Google's Bard chatbot as well as the voice assistant Google Assistant, both of which are important products for Google to showcase its AI prowess.<\/li>\n
  5. Michael Intrator, CoreWeave<\/strong>\u00a0Intrator and his colleague Brian Venturo started buying Nvidia GPUs for their crypto mining hobby in 2017, and todayCoreWeave Provides Enterprise Access to These Hard-to-get Chips via the Cloud<\/strong>.<\/li>\n
  6. Renee James, Ampere<\/strong>\u00a0James is the founder and CEO of Ampere, which develops chips for data centers.<\/li>\n
  7. Sean Lie, Cerebras Systems<\/strong>\u00a0Cerebras Systems builds special chips, such as those of competitors like Nvidia, that are much larger and, according to the company, can train AI systems potentially hundreds of times faster.<\/li>\n
  8. Daphne Luong, Apple<\/strong>\u00a0Luong is Apple's Machine Learning and AIadvanced<\/span>Supervisor, responsible for training and development of the company's AI models.<\/li>\n
  9. Sandra Rivera, Intel<\/strong>\u00a0As head of Intel's Data Center and AI group, Rivera leads Intel's AI strategy.<\/li>\n
  10. Suzie Fung.AMD<\/a><\/strong>\u00a0Suzie Fung was a member of the AMD team for many years.Leaders<\/span>AMD's share price increased by nearly 30 times under her leadership. Under her leadership, AMD's share price increased nearly 30 times.<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"

    As the shortage of graphic processing units (GPU) continues, companies and venture investors are competing to purchase these chips to run a robust AI model. Nvidia, a chip giant in the lead of the AI boom, announced plans to triple the production of GPU that drove the AI revolution. Other hardware starters are also competing to develop AI processors. Insider has selected the top 100 people to intellectualize AI, and the following is a list of top rankings in hardware. These leaders come from large companies like Google, Nvidia, Intel, and start-up companies like Cerebras and Ampere. David Brown, Amazon AWS Service<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[333,415,370,239],"collection":[],"class_list":["post-2267","post","type-post","status-publish","format-standard","hentry","category-news","tag-amd","tag-gpu","tag-370","tag-239"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2267","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=2267"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2267\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=2267"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=2267"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=2267"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=2267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}