{"id":3797,"date":"2024-11-14T01:42:43","date_gmt":"2024-11-14T01:42:43","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2024\/11\/14\/every-industry-every-company-every-country-must-produce-a-new-industrial-revolution-says-nvidia-ceo\/"},"modified":"2024-11-14T01:42:43","modified_gmt":"2024-11-14T01:42:43","slug":"every-industry-every-company-every-country-must-produce-a-new-industrial-revolution-says-nvidia-ceo","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2024\/11\/14\/every-industry-every-company-every-country-must-produce-a-new-industrial-revolution-says-nvidia-ceo\/","title":{"rendered":"\u2018Every Industry, Every Company, Every Country Must Produce a New Industrial Revolution,\u2019 Says NVIDIA CEO"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

The next technology revolution is here, and Japan is poised to be a major part of it.<\/p>\n

At NVIDIA\u2019s AI Summit Japan on Wednesday, NVIDIA founder and CEO Jensen Huang and SoftBank Chairman and CEO Masayoshi Son shared a sweeping vision for Japan\u2019s role in the AI revolution.<\/p>\n

Speaking in Tokyo, Huang underscored that AI infrastructure is essential to drive global transformation.<\/p>\n

In his talk, he emphasized two types of AI: digital and physical. Digital is represented by AI agents, while physical AI is represented by robotics.<\/p>\n

He said Japan is poised to create both types, leveraging its unique language, culture and data.<\/p>\n

\u201cEvery industry, every company, every country must produce a new industrial revolution,\u201d Huang said, pointing to AI as the catalyst for this shift.<\/p>\n

Huang emphasized Japan\u2019s unique position to lead in this AI-driven economy, praising the country\u2019s history of innovation and engineering excellence as well as its technological and cultural panache.<\/p>\n

\u201cI can\u2019t imagine a better country to lead the robotics AI revolution than Japan,\u201d Huang said. \u201cYou have created some of the world\u2019s best robots. These are the robots we grew up with, the robots we\u2019ve loved our whole lives.\u201d<\/p>\n

Huang highlighted the potential of agentic AI\u2014advanced digital agents capable of understanding, reasoning, planning, and taking action\u2014to transform productivity across industries.<\/p>\n

He noted that these agents can tackle complex, multi-step tasks, effectively doing \u201c50% of the work for 100% of the people,\u201d turbocharging human productivity.<\/p>\n

By turning data into actionable insights, agentic AI offers companies powerful tools to enhance operations without replacing human roles.<\/p>\n

SoftBank and NVIDIA to Build Japan\u2019s Largest AI Supercomputer<\/b><\/h3>\n

Among the summit\u2019s major announcements was NVIDIA\u2019s collaboration with SoftBank<\/a> to build Japan\u2019s most powerful AI supercomputer.<\/p>\n

\"\"
NVIDIA CEO Jensen Huang showcases Blackwell, the company\u2019s advanced AI supercomputing platform, at the AI Summit Japan in Tokyo.<\/figcaption><\/figure>\n

Using the NVIDIA Blackwell platform, SoftBank\u2019s DGX SuperPOD will deliver extensive computing power to drive sovereign AI initiatives, including large language models (LLMs) specifically designed for Japan.<\/p>\n

\u201cWith your support, we are creating the largest AI data center here in Japan,\u201d said Son, a visionary who, as Huang noted, has been a part of every major technology revolution of the past half-century.<\/p>\n

\u201cWe should provide this platform to many of those researchers, the students, the startups, so that we can encourage \u2026 so that they have a better access [to] much more compute.\u201d<\/p>\n

Huang noted that the AI supercomputer project is just one part of the collaboration.<\/p>\n

SoftBank also successfully piloted the world\u2019s first combined AI and 5G network, known as AI-RAN (radio access network). The network enables AI and 5G workloads to run simultaneously, opening new revenue possibilities for telecom providers.<\/p>\n

\u201cNow with this intelligence network that we densely connect each other, [it will] become one big neural brain for the infrastructure intelligence to Japan,\u201d Son said. \u201cThat will be amazing.\u201d<\/p>\n

Accelerated Computing and Japan\u2019s AI Infrastructure<\/b><\/h3>\n

Huang emphasized the profound synergy between AI and robotics, highlighting how advancements in artificial intelligence have created new possibilities for robotics across industries<\/a>.<\/p>\n

He noted that as AI enables machines to learn, adapt and perform complex tasks autonomously, robotics is evolving beyond traditional programming.<\/p>\n

\"\"
Huang spoke to developers, researchers and AI industry leaders at this week\u2019s NVIDIA AI Summit Japan.<\/figcaption><\/figure>\n

\u201cI hope that Japan will take advantage of the latest breakthroughs in artificial intelligence and combine that with your world-class expertise in mechatronics,\u201d Huang said. \u201cNo country in the world has greater skills in mechatronics than Japan, and this is an extraordinary opportunity to seize.\u201d<\/p>\n

NVIDIA aims to develop a national AI infrastructure network through partnerships with Japanese cloud leaders<\/a> such as GMO Internet Group and SAKURA internet.<\/p>\n

Supported by the Japan Ministry of Economy, Trade and Industry, this infrastructure will support sectors like healthcare, automotive and robotics by providing advanced AI resources to companies and research institutions across Japan.<\/p>\n

\u201cThis is the beginning of a new era\u2026 we can\u2019t miss this time,\u201d Huang added.<\/p>\n

Read more about all of today\u2019s announcements in the <\/i>NVIDIA AI Summit Japan online press kit<\/i><\/a>.\u00a0<\/i><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/ai-summit-japan-huang-son\/<\/p>\n","protected":false},"author":0,"featured_media":3798,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3797"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3797"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3797\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3798"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}