{"id":14806,"date":"2024-07-05T09:16:17","date_gmt":"2024-07-05T01:16:17","guid":{"rendered":"https:\/\/www.1ai.net\/?p=14806"},"modified":"2024-07-05T09:16:17","modified_gmt":"2024-07-05T01:16:17","slug":"%e5%8c%97%e4%ba%ac%ef%bc%9a%e9%a2%84%e8%ae%a1%e4%b8%a4%e5%b9%b4%e6%89%93%e9%80%a0-ai-%e5%8e%9f%e7%94%9f%e5%9f%8e%e5%b8%82%ef%bc%8c2025-%e5%b9%b4%e6%99%ba%e7%ae%97%e4%be%9b%e7%bb%99%e8%a7%84%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/14806.html","title":{"rendered":"Beijing: It is expected to build an AI-native city in two years, and the scale of intelligent computing supply will reach 45EFLOPS in 2025"},"content":{"rendered":"<p data-vmark=\"797c\">According to Shangguan News, at the 2024 Global Digital Economy Conference Intelligent Computing and Decision Technology Forum held on July 3,<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%8c%97%e4%ba%ac\" title=\"[View articles tagged with [Beijing]]\" target=\"_blank\" >Beijing<\/a>Tang Jianguo, chief economist of the Municipal Bureau of Economics and Information Technology and executive director of the Digital Economy Task Force, said: \u201cBeijing has clearly stated that by 2025, the scale of local intelligent computing supply will reach\u00a0<strong>45EFLOPS<\/strong>, forming a<strong>Four computing centers with over 100 million computing power in the east, west, south and north<\/strong>, build the &#039;Beijing-Tianjin-Hebei-Inner Mongolia&#039; computing power supply corridor, and provide efficient computing power supply for the training and reasoning applications of large artificial intelligence models.&quot;<\/p>\n<p data-vmark=\"2fd0\">EFLOPS stands for exascale (10 to the 18th power) floating point operations per second.<\/p>\n<p data-vmark=\"467e\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-14807\" title=\"73dfbe3a-3c79-44d6-8f38-4f675e739dfe.jpg@s_2w_820h_547\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/07\/73dfbe3a-3c79-44d6-8f38-4f675e739dfe.jpg@s_2w_820h_547.jpg\" alt=\"73dfbe3a-3c79-44d6-8f38-4f675e739dfe.jpg@s_2w_820h_547\" width=\"820\" height=\"547\" \/><\/p>\n<p>Image source: Pexels<\/p>\n<p data-vmark=\"2b75\">Tang Jianguo said that Beijing will also launch a series of AI business scenarios.<strong>It is expected to take two years to build an AI-native city<\/strong>There are 166 large-scale model products that have been registered nationwide, including 71 in Beijing.<strong>About half of the country<\/strong>Next, Beijing will<strong>AI + Robotics, AI + Healthcare, AI + Education, AI + Government Services<\/strong>In various aspects, we will create benchmark projects and form industry demonstration applications.<\/p>","protected":false},"excerpt":{"rendered":"<p>According to Shangguan News, at the Intelligent Computing and Decision Making Technology Forum of the 2024 Global Digital Economy Conference held on July 3, Tang Jianguo, chief economist of the Beijing Municipal Bureau of Economy and Informatization, and executive director of the Digital Economy Task Force, said, \"Beijing Municipality explicitly proposes that the scale of the local smart computing supply will reach 45EFLOPS by 2025, and that four east-west and north-south billion or more arithmetic centers in Beijing, and build a 'Beijing-Tianjin-Hebei-Mongolia' arithmetic supply corridor to provide efficient arithmetic supply for the training and reasoning applications of AI big models.\" EFLOPS is the number of floating-point operations per second (10 to the 18th power) in tens of billions of times. Image source Pexels Tang said Beijing will also launch a series of AI business scenarios, and expects to use two years to build an AI<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1729],"collection":[],"class_list":["post-14806","post","type-post","status-publish","format-standard","hentry","category-news","tag-1729"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/14806","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=14806"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/14806\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=14806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=14806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=14806"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=14806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}