{"id":4551,"date":"2026-05-21T16:56:23","date_gmt":"2026-05-21T16:56:23","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2026\/05\/21\/nvidia-gtc-taipei-at-computex-live-updates-on-whats-next-in-ai\/"},"modified":"2026-05-21T16:56:23","modified_gmt":"2026-05-21T16:56:23","slug":"nvidia-gtc-taipei-at-computex-live-updates-on-whats-next-in-ai","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2026\/05\/21\/nvidia-gtc-taipei-at-computex-live-updates-on-whats-next-in-ai\/","title":{"rendered":"NVIDIA GTC Taipei at COMPUTEX: Live Updates on What\u2019s Next in AI"},"content":{"rendered":"<div>\n<p><span>The future of AI is landing in Taiwan. At NVIDIA GTC Taipei at COMPUTEX, the world\u2019s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI factories and scaling infrastructure to agentic and physical AI and more.\u00a0<\/span><\/p>\n<p><span>Hear from NVIDIA founder and CEO Jensen Huang <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-tw\/gtc\/taipei\/keynote\/\" rel=\"noopener\"><span>live on stage<\/span><\/a><span> at Taipei Music Center on Monday, June 1, 11 a.m. Taiwan time. Tune in early to catch the GTC Live at Taipei 2026 pregame show, featuring lively conversations with industry leaders about the latest innovations in AI and accelerated computing.<\/span><\/p>\n<p><span>This is the place to find all the latest \u2014 stay tuned to the blog for live updates.<\/span><\/p>\n<hr>\n<p>\u00a0<\/p>\n<p><em>Thursday, May 21, 9 a.m. PT <\/em><b><a href=\"https:\/\/blogs.nvidia.com\/blog\/nvidia-gtc-taipei-computex-2026-news\/#bca-awards\">????<\/a><\/b><\/p>\n<h2 id=\"bca-awards\" class=\"wp-block-heading\"><b>NVIDIA Wins COMPUTEX 2026 Best Choice Awards for Innovations Spanning AI Factories, Robotics and Autonomous Vehicles\u00a0<\/b><\/h2>\n<p><em>NVIDIA Vera Rubin NVL72, NVIDIA Jetson Thor and NVIDIA Alpamayo were honored across four categories at Asia\u2019s premier technology and computer trade exhibition.<\/em><\/p>\n<p class=\"wp-block-heading\"><span><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-93176 size-full\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2026\/05\/vera-corp-blog-rubin-vera-rubin-nvl72-1280x680-1.png\" alt=\"\" width=\"1280\" height=\"680\"><\/span><\/p>\n<p class=\"wp-block-heading\"><span>At this year\u2019s COMPUTEX Best Choice Awards (BCA), NVIDIA today received honors recognizing its innovation in AI computing, integrated circuits and autonomous vehicle (AV) development.<\/span><\/p>\n<p><span>The <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/vera-rubin-nvl72\/\" rel=\"noopener\"><span>NVIDIA Vera Rubin NVL72<\/span><\/a><span> rack-scale AI supercomputer won <\/span><span>a Golden Award and the Sustainable Tech Special Award; the <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-thor\/\" rel=\"noopener\"><span>NVIDIA Jetson Thor<\/span><\/a><span> platform for edge AI and robotics won a Golden Award; and the <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/solutions\/autonomous-vehicles\/alpamayo\/\" rel=\"noopener\"><span>NVIDIA Alpamayo<\/span><\/a><span> open platform for AV development won the Vehicle Technology and Smart Cockpit Category Award.<\/span><\/p>\n<p><span>Entries were evaluated on their functionality, innovation and market potential, showcased at the premier computer and technology trade exhibition.<\/span><\/p>\n<p><span>Jensen Huang, founder and CEO of NVIDIA, will deliver a <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-tw\/gtc\/taipei\/keynote\/\" rel=\"noopener\"><span>keynote at COMPUTEX<\/span><\/a><span> on Monday, June 1, at 11 a.m. Taiwan time.<\/span><\/p>\n<p><b>NVIDIA Vera Rubin NVL72 Takes Home COMPUTEX Awards<\/b><\/p>\n<p><span>Securing a Golden Award and the Sustainable Tech Special Award, Vera Rubin NVL72 connects 36 <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/vera-cpu\/\" rel=\"noopener\"><span>NVIDIA Vera CPUs<\/span><\/a><span> and 72 <\/span><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/blog\/?p=111036&amp;preview=1&amp;_ppp=61bfbbe9a9#rubin_gpu_execution_engine_for_transformer-era_ai\" rel=\"noopener\"><span>NVIDIA Rubin GPUs<\/span><\/a><span> \u2014 unified by the sixth-generation <\/span><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/blog\/inside-the-nvidia-rubin-platform-six-new-chips-one-ai-supercomputer\/#nvlink_6_switch_the_rack-scale_scale-up_fabric\" rel=\"noopener\"><span>NVIDIA NVLink Switch<\/span><\/a><span> for scale-up \u2014 with <\/span><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/blog\/?p=111036&amp;preview=1&amp;_ppp=61bfbbe9a9#connectx-9_pushing_the_limits_of_ai_scale-out_bandwidth\" rel=\"noopener\"><span>ConnectX-9 SuperNICs<\/span><\/a><span> and <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/silicon-photonics\/\" rel=\"noopener\"><span>Spectrum-X Ethernet Photonics co-packaged optics switches<\/span><\/a><span> for scale-out and scale-across, as well as <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/data-processing-unit\/\" rel=\"noopener\"><span>BlueField-4 DPUs<\/span><\/a><span> to accelerate data processing across storage and security.\u00a0<\/span><\/p>\n<p><span>Vera Rubin NVL72 delivers up to 10x higher inference performance per watt and 10x lower cost per token. When paired with <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/lpx\/\" rel=\"noopener\"><span>NVIDIA Groq 3 LPX<\/span><\/a><span>, Vera Rubin NVL72 delivers up to 35x higher throughput per watt for trillion-parameter models.<\/span><\/p>\n<p><span>Designed for agentic AI, reasoning and long-context workloads, it enables AI factories to scale intelligence inside the rack and across the data center with secure, continuously available deployment.<\/span><\/p>\n<p><span>The Vera Rubin NVL72 sets the bar for scalability, resiliency and sustainable AI infrastructure. Its cable-free, hose-free, fanless modular tray design reduces assembly time from two hours to five minutes per compute tray.\u00a0<\/span><\/p>\n<p><span>The system\u2019s power shelves deliver 6x more onboard energy storage for intelligent power smoothing, protecting both the rack and the broader power grid from steep load swings. In addition, its 100% liquid-cooled architecture operates at 45 degrees Celsius, meaning it drops seamlessly into existing liquid-cooled data centers and enables ambient-air, dry-cooler designs that redirect power from cooling overhead into token generation.<\/span><\/p>\n<p><b>More BCA Wins for NVIDIA Technologies<\/b><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-thor\/\" rel=\"noopener\"><span>NVIDIA Jetson Thor<\/span><\/a><span> won a Golden Award as the most powerful <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/edge-computing\/\" rel=\"noopener\"><span>edge AI<\/span><\/a><span> compute platform built for physical AI and autonomous robots. Powered by the <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/technologies\/blackwell-architecture\/\" rel=\"noopener\"><span>NVIDIA Blackwell GPU architecture<\/span><\/a><span>, it delivers up to 2,070 FP4 teraflops of AI performance \u2014 7.5x the compute and 3.5x the energy efficiency of the previous <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-orin\/\" rel=\"noopener\"><span>NVIDIA Jetson Orin<\/span><\/a><span> generation \u2014 in a compact module configurable between 40 and 130 watts.\u00a0<\/span><\/p>\n<p><span>Already in production across hundreds of applications, Jetson Thor is built to bring generative AI to smart <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/industries\/robotics\/\" rel=\"noopener\"><span>robots<\/span><\/a><span>, <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-in\/industries\/industrial\/\" rel=\"noopener\"><span>industrial systems<\/span><\/a><span>, medical devices and <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/\" rel=\"noopener\"><span>autonomous machines<\/span><\/a><span> while maximizing run-time performance and memory optimization.<\/span><\/p>\n<p><span>Plus, <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/solutions\/autonomous-vehicles\/alpamayo\/\" rel=\"noopener\"><span>NVIDIA Alpamayo<\/span><\/a><span> won the Vehicle Technology and Smart Cockpit Category Award for pioneering open, reasoning-based <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/solutions\/autonomous-vehicles\/\" rel=\"noopener\"><span>autonomous vehicle development<\/span><\/a><span>. Alpamayo is designed to help developers tackle rare, complex long-tail driving scenarios \u2014 such as interpreting an ambiguous hand signal from a pedestrian, determining the right-of-way when traffic lights and road markings contradict each other, and safely passing an emergency vehicle parked partially in the lane ahead \u2014 which fall outside typical training experience<\/span><\/p>\n<p><span>The Alpamayo open platform includes Alpamayo 1.5 and <\/span><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/solutions\/autonomous-vehicles\/alpamayo\/\" rel=\"noopener\"><span>Alpamayo 1<\/span><\/a><span>, 10-billion-parameter chain-of-thought reasoning vision language action models for AV research; <\/span><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/blog\/building-autonomous-vehicles-that-reason-with-nvidia-alpamayo\" rel=\"noopener\"><span>AlpaSim<\/span><\/a><span>, an open source, end-to-end simulation framework for high-fidelity AV development; and <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/open-physical-ai-dataset\/\"><span>NVIDIA Physical AI Open Datasets<\/span><\/a><span>, which include more than 1,700 hours of driving data across geographies and conditions.<\/span><\/p>\n<p><i><span>Learn more about NVIDIA\u2019s latest innovations at <\/span><\/i><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-tw\/gtc\/taipei\/\" rel=\"noopener\"><i><span>NVIDIA GTC Taipei<\/span><\/i><\/a><i><span>, running June 1-4 at COMPUTEX.<\/span><\/i><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/nvidia-gtc-taipei-computex-2026-news\/<\/p>\n","protected":false},"author":0,"featured_media":4552,"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\/4551"}],"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=4551"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4551\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4552"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4551"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4551"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}