{"title":"职业生涯苏珊娜-孔特雷拉(Susana Contrera):让 Meta 的人工智能基础设施保持运转的网络工程师","authors":"Edd Gent","doi":"10.1109/MSPEC.2024.10522932","DOIUrl":null,"url":null,"abstract":"Making breakthroughs in artificial intelligence these days requires huge amounts of computing power. In January, Meta CEO Mark Zuckerberg announced that by the end of this year, the company will have installed 350,000 Nvidia GPUs—the specialized computer chips used to train AI models—to power its AI research.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10522932","citationCount":"0","resultStr":"{\"title\":\"Careers: Susana Contrera: A Network Engineer who Keeps Meta's AI Infrastructure Humming\",\"authors\":\"Edd Gent\",\"doi\":\"10.1109/MSPEC.2024.10522932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Making breakthroughs in artificial intelligence these days requires huge amounts of computing power. In January, Meta CEO Mark Zuckerberg announced that by the end of this year, the company will have installed 350,000 Nvidia GPUs—the specialized computer chips used to train AI models—to power its AI research.\",\"PeriodicalId\":13249,\"journal\":{\"name\":\"IEEE Spectrum\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10522932\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Spectrum\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10522932/\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Spectrum","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10522932/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Careers: Susana Contrera: A Network Engineer who Keeps Meta's AI Infrastructure Humming
Making breakthroughs in artificial intelligence these days requires huge amounts of computing power. In January, Meta CEO Mark Zuckerberg announced that by the end of this year, the company will have installed 350,000 Nvidia GPUs—the specialized computer chips used to train AI models—to power its AI research.
期刊介绍:
IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas.
IEEE Spectrum is the world''s leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all technical issues and advances in computers, communications, and electronics. Written in clear, concise language for the non-specialist, Spectrum''s high editorial standards and worldwide resources ensure technical accuracy and state-of-the-art relevance.