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Nvidia chief Jensen Huang has announced an ambitious plan to build Taiwan\u2019s first AI supercomputer, marking a significant milestone for the island\u2019s role in global artificial intelligence development. The announcement came during Huang\u2019s keynote speech at Computex, Asia\u2019s premier technology trade show currently underway in Taipei.<\/p>\n<\/div>\n
The initiative will see Nvidia<\/a> collaborate with leading Taiwanese firms Foxconn and TSMC, alongside the government, to establish cutting-edge AI infrastructure on the island. \u201cTaiwan doesn\u2019t just build supercomputers for the world,\u201d said Huang. \u201cWe\u2019re also building AI for Taiwan.\u201d<\/p>\n<\/div>\n Describing the island as the “centre” of the semiconductor and AI industry, the Taiwan-born executive emphasised the strategic importance of developing a local AI ecosystem. \u201cHaving a world-class AI infrastructure in Taiwan is really important,\u201d he added.<\/p>\n<\/div>\n During his address, Huang <\/a>also introduced the latest advancements in Nvidia\u2019s AI hardware, including an upgraded version of its Blackwell processing platform. He showcased new robotics tools and “AI agents” designed to manage corporate operations, as well as a new iteration of the company\u2019s NVLink technology, which allows clients to build semi-custom AI infrastructure.<\/p>\n<\/div>\n \u201cTen years from now, we\u2019ll look back and realise that AI has become part of everything,\u201d said Huang, appearing in his trademark black leather jacket. \u201cIn fact, we need AI everywhere.\u201d<\/p>\n<\/div>\n The annual Computex event has drawn tech leaders from across the globe, spotlighting Taiwan\u2019s central role in the production of advanced semiconductors\u2014crucial components for smartphones, servers, and AI applications such as ChatGPT.<\/p>\n<\/div>\n Executives from global chipmakers including Qualcomm, Foxconn, and MediaTek are also attending. Qualcomm\u2019s CEO Cristiano Amon hinted at expansion into data centres but provided few details. Much of this year\u2019s attention is focused on the push to integrate AI capabilities<\/a> directly into consumer devices such as laptops, robots, and vehicles.<\/p>\n<\/div>\n