{"id":10134,"date":"2025-05-23T21:14:30","date_gmt":"2025-05-23T13:14:30","guid":{"rendered":"https:\/\/ai-stack.ai\/?p=10134"},"modified":"2025-05-23T21:18:14","modified_gmt":"2025-05-23T13:18:14","slug":"jensen-huang-computex","status":"publish","type":"post","link":"https:\/\/ai-stack.ai\/en\/jensen-huang-computex","title":{"rendered":"Jensen Huang\u2019s COMPUTEX 2025 Keynote: Building the Era of AI Factories"},"content":{"rendered":"\n

On May 19, 2025, NVIDIA CEO Jensen Huang once again captivated audiences at COMPUTEX in Taipei. This keynote wasn\u2019t just another corporate presentation\u2014it was a powerful vision for the future of technology, filled with exciting product announcements, strategic collaborations, and heartfelt gratitude toward Taiwan, his home country and a vital partner in NVIDIA\u2019s success story.<\/p>\n\n\n\n

From Chipmaker to AI Architect: NVIDIA\u2019s Evolution<\/strong><\/h3>\n\n\n\n

At the start of his speech, Jensen made it clear: NVIDIA is no longer just a GPU chipmaker\u2014it has become an \u201carchitect of intelligent infrastructure.\u201d AI, according to Huang, is now emerging as the third major infrastructure shift after electricity and the internet.<\/p>\n\n\n\n

Central to his speech was the concept of “AI Factories.” These aren’t merely data centers; instead, they convert electricity into AI outputs measured in a new unit called “tokens.” Just as watts quantify electricity, Jensen sees tokens quantifying AI production. These factories will democratize AI, making it accessible for industries worldwide, and accelerating digital transformation across every sector.<\/p>\n\n\n\n

Launching Groundbreaking Products: Blackwell Architecture and DGX Spark<\/strong><\/h3>\n\n\n\n
\"\"\/<\/figure>\n\n\n\n

COMPUTEX is traditionally a stage for exciting product debuts, and this year NVIDIA did not disappoint. Jensen officially unveiled the company’s next-gen GPU architecture: Blackwell. Blackwell promises unprecedented AI computing power and superior energy efficiency, paving the way for a whole new generation of NVIDIA\u2019s AI-driven solutions.<\/p>\n\n\n\n

One standout product demonstration was the “DGX Spark,” a desktop-sized supercomputer designed specifically for AI developers. Though small enough to sit comfortably on a desk, the DGX Spark packs immense computing power, ideal for use in homes, offices, or research labs, giving developers instant access to leading-edge AI capabilities.<\/p>\n\n\n\n

Jensen also introduced the NVLink Fusion technology, enabling enterprises to build highly customizable AI infrastructures by flexibly combining GPUs. This promises significant improvements in performance, scalability, and efficiency, empowering companies to tailor their AI setups precisely to their needs.<\/p>\n\n\n\n

Major Investment in Taiwan: A New AI Supercomputer and Headquarters<\/strong><\/h3>\n\n\n\n
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Jensen, who maintains deep personal and professional ties with Taiwan, announced an ambitious investment in collaboration with TSMC, Foxconn, and the Taiwanese government. Together, they’ll construct a massive AI supercomputer equipped with 10,000 Blackwell GPUs, an investment totaling hundreds of millions of dollars. This new supercomputer positions Taiwan as a central AI hub in Asia, further cementing its pivotal role in global technology infrastructure.<\/p>\n\n\n\n

Additionally, NVIDIA will establish its new Taiwanese headquarters, named “Constellation,” located in the Shilin-Beitou Science Park. More than just a corporate office, Constellation will serve as a hub for AI R&D, talent cultivation, and educational outreach. Jensen emotionally emphasized, “Without Taiwan, NVIDIA could not achieve what it has today,” expressing his profound gratitude and respect for Taiwan\u2019s contributions.<\/p>\n\n\n\n

AI’s Three Stages of Evolution: Perception, Generation, and Physical AI<\/strong><\/h3>\n\n\n\n

Jensen elaborated on AI’s ongoing evolution, identifying three key developmental stages:<\/p>\n\n\n\n

    \n
  1. Perception AI:<\/strong> Systems capable of recognizing images, speech, and patterns, as seen in applications like voice assistants and facial recognition.
    <\/li>\n\n\n\n
  2. Generative AI:<\/strong> Recently popularized by tools such as ChatGPT and Midjourney, these AIs generate content, including text, images, music, and code, dramatically enhancing productivity across creative and technical fields.
    <\/li>\n\n\n\n
  3. Physical AI:<\/strong> This future stage integrates perception and generation with real-world physical interactions, exemplified by autonomous vehicles, robotics, and automated factories. Jensen highlighted NVIDIA\u2019s Cosmos platform, a powerful simulation environment enabling AI models to train extensively in virtual worlds, significantly improving their performance in real-world scenarios.
    <\/li>\n<\/ol>\n\n\n\n

    Promoting Global Collaboration: Praise for China\u2019s Open-Source AI Model<\/strong><\/h3>\n\n\n\n

    Reflecting a global perspective, Jensen openly praised the recent launch of China\u2019s DeepSeek R1, an open-source large language model. He called this development a \u201cgift to the global AI community,\u201d emphasizing the importance of openness and collaboration in advancing AI technologies.<\/p>\n\n\n\n

    Despite acknowledging that recent U.S. semiconductor restrictions on China have somewhat impacted NVIDIA\u2019s business, Jensen optimistically noted that these challenges have spurred Chinese innovation, leading to a healthier, more diverse global AI ecosystem.<\/p>\n\n\n\n

    Gratitude to Taiwan: An Emotional Connection<\/strong><\/h3>\n\n\n\n

    In an emotional conclusion, Jensen played a video displaying a map of Taiwan surrounded by logos of NVIDIA’s local partners, concluding with a simple yet powerful message: “Thank You, Taiwan.” He reinforced Taiwan\u2019s critical role in NVIDIA\u2019s global operations\u2014from chip manufacturing and hardware innovation to talent recruitment\u2014stating clearly, “Without Taiwan\u2019s support, NVIDIA’s vision could never have been realized.”<\/p>\n\n\n\n

    This heartfelt statement garnered enthusiastic applause, highlighting Jensen’s authentic appreciation and the unique bond NVIDIA shares with Taiwan, extending far beyond business considerations.<\/p>\n\n\n\n

    Closing Remarks: The Future of AI is Ours to Build Together<\/strong><\/h3>\n\n\n\n

    Jensen Huang\u2019s keynote was more than just a tech showcase; it was a call to action. He stressed that the future of AI cannot be built by a single company alone\u2014it requires collaborative effort across global industries, communities, and talent pools.<\/p>\n\n\n\n

    “The AI-powered future demands everyone\u2019s participation,” Jensen declared, underscoring his optimism and openness toward a future built on shared innovation and global partnership.<\/p>\n","protected":false},"excerpt":{"rendered":"

    On May 19, 2025, NVIDIA CEO Jensen Huang once again captivated audiences at COMPUTEX in Taipei. This keynote wasn\u2019t just another corporate presentation\u2014it was a powerful vision for the future of technology, filled with exciting product announcements, strategic collaborations, and heartfelt gratitude toward Taiwan, his home country and a vital partner in NVIDIA\u2019s success story. From Chipmaker to AI Architect: NVIDIA\u2019s Evolution At the start of his speech, Jensen made it clear: NVIDIA is no longer just a GPU chipmaker\u2014it has become an \u201carchitect of intelligent infrastructure.\u201d AI, according to Huang, is now emerging as the third major infrastructure shift after…<\/p>\n","protected":false},"author":253372376,"featured_media":10135,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[96987604,96987592],"tags":[96987659],"class_list":["post-10134","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","category-featured-articles","tag-computex-en"],"blocksy_meta":[],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/ai-stack.ai\/wp-content\/uploads\/2025\/05\/%E6%A8%A1%E5%9E%8BA-15.jpg?fit=1920%2C1080&quality=100&ct=202603031250&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/ph344V-2Ds","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts\/10134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/users\/253372376"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/comments?post=10134"}],"version-history":[{"count":0,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts\/10134\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/media\/10135"}],"wp:attachment":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/media?parent=10134"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/categories?post=10134"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/tags?post=10134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}