{"id":4005,"date":"2025-05-19T06:52:47","date_gmt":"2025-05-19T06:52:47","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/05\/19\/nvidia-ceo-envisions-ai-infrastructure-industry-worth-trillions-of-dollars\/"},"modified":"2025-05-19T06:52:47","modified_gmt":"2025-05-19T06:52:47","slug":"nvidia-ceo-envisions-ai-infrastructure-industry-worth-trillions-of-dollars","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/05\/19\/nvidia-ceo-envisions-ai-infrastructure-industry-worth-trillions-of-dollars\/","title":{"rendered":"NVIDIA CEO Envisions AI Infrastructure Industry Worth \u2018Trillions of Dollars\u2019"},"content":{"rendered":"
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Electricity. The Internet. Now it\u2019s time for another major technology, AI, to sweep the globe.<\/p>\n

NVIDIA founder and CEO Jensen Huang took the stage at a packed Taipei Music Center Monday to kick off COMPUTEX 2025, captivating the audience of more than 4,000 with a vision for a technology revolution that will sweep every country, every industry and every company.<\/p>\n

\u201cAI is now infrastructure, and this infrastructure, just like the internet, just like electricity, needs factories,\u201d Huang said. \u201cThese factories are essentially what we build today.\u201d<\/p>\n<\/p>\n

\u201cThey\u2019re not data centers of the past,\u201d Huang added. \u201cThese AI data centers, if you will, are improperly described. They are, in fact, AI factories. You apply energy to it, and it produces something incredibly valuable, and these things are called tokens.\u201d<\/p>\n

NVIDIA CUDA-X Everywhere: <\/b>After showing a towering wall of partner logos, Huang described how companies are using NVIDIA\u2019s CUDA-X platform for a dizzying array of applications, how NVIDIA and its partners are building 6G using AI, and revealed NVIDIA\u2019s latest work to accelerate quantum supercomputing.<\/p>\n

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NVIDIA CEO Jensen Huang called out NVIDIA partners across Taiwan, and the world, throughout his talk.<\/figcaption><\/figure>\n

\u201cThe larger the install base, the more developers want to create libraries, the more libraries, the more amazing things are done,\u201d Huang said, describing CUDA-X\u2019s growing popularity and power. \u201cBetter applications, more benefits to users.\u201d<\/p>\n

More\u2019s coming, Huang said, describing the growing power of AI to reason and perceive. That leads us to agentic AI \u2014 AI able to understand, think and act. Beyond that is physical AI \u2014 AI that understands the world. The phase after that, he said, is general robotics.<\/p>\n

All of this has created demand for much more computing power. To meet those needs, Huang detailed the latest NVIDIA innovations from Grace Blackwell NVL72 systems to advanced networking technology, and detailed huge new AI installations from CoreWeave, Oracle, Microsoft, xAI and others across the globe.<\/p>\n

\u201cThese are gigantic factory investments, and the reason why people build factories is because you know, you know the answer,\u201d Huang said with a grin. \u201cThe more you buy, the more you make.\u201d<\/p>\n

Building AI for Taiwan: <\/b>It all starts in Taiwan, Huang said, highlighting the key role Taiwan plays in the global technology ecosystem. But Taiwan isn\u2019t just building AI for the world; NVIDIA is helping build AI for Taiwan. Huang announced that NVIDIA and Foxconn Hon Hai Technology Group<\/a> are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries \u2013 including TSMC.<\/p>\n

\u201cHaving a world-class AI infrastructure here in Taiwan is really important,\u201d Huang said.<\/p>\n

NVIDIA NVLink Fusion: <\/b>And moving to help its partners scale up their systems however they choose, Huang announced NVLink Fusion, a new architecture that enables hyperscalers to create semi-custom compute solutions with NVIDIA\u2019s NVLink interconnect.<\/p>\n

This technology aims to break down traditional data center bottlenecks, enabling a new level of AI scale and more flexible, optimized system designs tailored to specific AI workloads.<\/p>\n

\u201cThis incredible body of work now becomes flexible and open for anybody to integrate into,\u201d Huang said.<\/p>\n

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Blackwell Everywhere:<\/b> And the engine now powering this entire AI ecosystem is NVIDIA Blackwell, with Huang showing a slide explaining how NVIDIA offers \u201cone architecture,\u201d from cloud AI to enterprise AI, from personal AI to edge AI.<\/p>\n