Nvidia and Taiwan’s growing role in artificial intelligence infrastructure are expected to take center stage at Computex 2026, as the island becomes more important not only for chips but also for the systems that power AI data centers.
Nvidia’s official GTC Taipei at COMPUTEX 2026 page says the company will hold its keynote on June 1, workshops on June 2, and conference sessions on June 3 and 4 in Taipei.
Jensen Huang arrives early in Taiwan
Nvidia CEO Jensen Huang is expected to be one of the biggest figures at the show.
Reuters reported that Huang arrived in Taipei more than a week before Computex and said Nvidia would spend as much as $150 billion a year in Taiwan, which he called the epicentre of the AI revolution.
Huang also highlighted how quickly Nvidia’s Taiwan partner base has expanded. Reuters quoted him as saying Nvidia had 10 partners many years ago, around 50 partners five years ago, and now has 150 partners.
Since arriving in Taiwan, Huang has held a series of meetings and dinners with top supply chain executives, including TSMC CEO C.C. Wei, Foxconn Chairman Young Liu, and Quanta Computer Chairman Barry Lam.
Taiwan’s role expands beyond semiconductors
The Computex spotlight is not only on individual chips.
Taiwan now has a diverse ecosystem needed for AI data centers, including AI server manufacturers, packaging suppliers, and component makers.
Ryan Fletcher, a partner at McKinsey & Company, shared that Taiwan’s AI role is moving “from a semiconductor story to an infrastructure story.” He said the question is no longer only who makes the chip, but who can turn it into a powered, cooled, networked, and serviceable AI system.
That shift matters because AI infrastructure is not just about graphics processors. Data centers need servers, networking, cooling, packaging, power systems, and maintenance capacity. Taiwan is becoming central to that full supply chain.
Nvidia’s AI platforms will be on display
Nvidia is expected to use Computex and GTC Taipei to showcase its AI platform strategy.
Nvidia’s GTC Taipei at COMPUTEX 2026 page says the company and its partner ecosystem will showcase breakthroughs across AI platforms, including physical AI, AI compute, and AI infrastructure.
The Nvidia page also says Huang’s keynote will take place at the Taipei Music Center, while GTC Taipei sessions and training will run at the Taipei International Convention Center from June 2 to 4. Nvidia said visitors can also explore partner demos across the Computex show floor at the Nangang Exhibition Hall.
Nvidia also listed sessions on Robotics, Autonomous Machines, and Physical AI led by Deepu Talla, Nvidia’s VP of Robotics and Edge AI, and AI Compute, Infrastructure, and Development led by Kevin Deierling, Nvidia’s Senior Vice President of Networking.
Other chip leaders will attend
Computex is also drawing other major semiconductor executives.
The show is expected to be the biggest Computex ever, with 1,500 exhibitors. Global chip leaders expected to attend include Intel CEO Lip-Bu Tan, Qualcomm CEO Cristiano Amon, Arm CEO Rene Haas, Marvell CEO Matt Murphy, and NXP Semiconductors CEO Rafael Sotomayor.
Intel’s keynote will also be closely watched. Bryan Ma, vice president for client devices research at IDC, shared that Tan’s keynote may show what direction he wants to take Intel after getting the company “back on its feet.”
Taiwan’s AI boom continues despite geopolitical pressure
The trade show is taking place amid continuing geopolitical tension around Taiwan.
Chinese President Xi Jinping told U.S. President Donald Trump during a summit this month that mishandling Taiwan could lead to conflict between the two powers. China has increased military pressure around the island.
Still, Taiwan’s AI infrastructure business continues to grow. Taiwan’s server exports surged to $60 billion last year, up from just $571 million in 2017.
That growth explains why Computex 2026 is more than a hardware trade show. It is becoming a stage for the global AI infrastructure race, with Nvidia, Taiwan’s supply chain, and major chipmakers all competing to define the next phase of AI computing.
