Computex 2026 brings Nvidia’s Vera Rubin platform, the N1X Arm chip, and Intel’s Arc G3 to Taipei — here is everything announced at Asia’s biggest AI hardware show.
Taipei is once again the center of the technology world this week. Computex 2026, the annual gathering that once defined the PC era, has been fully reinvented as the global stage for artificial intelligence infrastructure, and the industry’s most powerful figures have converged here with hardware that could reshape computing for years to come.
Nvidia CEO Jensen Huang opened proceedings on June 1 with a keynote at the Taipei Music Center, setting the tone before the show floor even opened its doors. Intel CEO Lip-Bu Tan follows on June 2, and together the two companies represent the clearest picture yet of where the hardware industry is heading in a world increasingly defined by AI workloads, agentic computing, and the insatiable demand for faster, more efficient silicon.
Jensen Huang and the Next Generation of Nvidia
No name casts a longer shadow over Computex than Jensen Huang’s. The Nvidia CEO, who has become something of a rock star in the technology world, arrived in Taipei with a lineup that analysts and investors have been watching closely for months. Chief among them is the Vera Rubin platform, which combines Nvidia’s Vera central processing unit with the Rubin graphics processing unit in a pairing that entered full production earlier this year.
The performance numbers are substantial. The Vera Rubin platform delivers roughly 3.5 times the AI training performance of its predecessor, the Blackwell platform, and approximately five times the inference performance. For companies building out AI infrastructure, those are not incremental gains. They represent the difference between what is possible today and what could become routine within the next two to three years.
The Rubin GPU, which carries a thermal design power of around 1.8 kilowatts with system-level cooling designs supporting up to 2.3 kilowatts, is not a chip you drop into a consumer laptop. It is a data center component, the kind of hardware that Meta Platforms and OpenAI have committed hundreds of billions of dollars to acquiring. But Nvidia’s Computex presence this year is not limited to the hyperscale crowd.
The consumer market is paying close attention to the N1X, Nvidia’s first Arm-based chip for Windows laptops and potentially the most disruptive personal computer component in years. Built in partnership with MediaTek and combining Arm CPU cores with Blackwell GPU technology, the N1X is designed to bring strong graphics and AI performance to thin, power-efficient devices. Some early reports have suggested performance comparable to a previous-generation RTX 4070, but in an integrated form factor built for fanless or near-silent designs. If those claims hold up under independent scrutiny, the implications for the Windows PC market are considerable.
Intel’s Comeback Moment
For Intel, Computex 2026 is something more than a product showcase. It is an opportunity to demonstrate that the company’s restructuring under CEO Lip-Bu Tan is translating into real momentum, not just organizational promises. The phrase that Intel inserted into its official keynote announcement, “silicon innovation,” is one the company has not used in previous Computex communications, and it has attracted significant attention from analysts tracking Intel’s recovery.
Tan’s keynote on June 2 is expected to cover AI PCs, edge computing, data center strategy, and the enduring relevance of x86 architecture in an era when Arm-based chips are making serious inroads. But the most closely watched element will likely be concrete hardware. Intel is arriving at Computex 2026 with something it has not had in roughly a decade: a product in every major computing category built on a single coherent manufacturing story.
Nvidia at Computex
Vera Rubin platform confirmed in production. N1X Arm laptop chip revealed. Jetson Thor for edge robotics. Agentic AI positioning as the new computing paradigm. RTX Spark laptop chip also announced.
Intel at Computex
CEO Lip-Bu Tan keynotes June 2. Arc G3 and G3 Extreme gaming handheld chips launched. Nova Lake desktop platform expected in preview. 18A process node as foundry calling card.
The Arc G3 and Arc G3 Extreme chips, built on Intel’s Panther Lake dies and designed specifically for gaming handhelds, represent a direct challenge to AMD’s dominance in that fast-growing category. Devices from partners including Acer and OneXPlayer are already confirmed. Meanwhile, leaks and early benchmark appearances for Bartlett Lake, Intel’s next desktop gaming platform, have circulated in recent weeks, and Nova Lake, the company’s high-end desktop lineup with configurations reportedly ranging from 6 to 52 cores and DDR5-8000 support, could make at least a preview appearance at the show.
Intel’s server strategy is also in focus. The company is expected to discuss Crescent Island, its dedicated inference accelerator, and Jaguar Shores, a rack-scale computing platform aimed at the AI data center of the late 2020s. Neither has been formally launched, but Computex is the natural stage for at least an architecture announcement.
The Bottleneck Nobody Wants to Talk About
Underneath the ambition on display in Taipei this week lies a constraint that threatens to slow every company’s plans: memory. DRAM and solid-state drive costs are surging, and Gartner projects a 17 percent increase in PC prices across 2026 as a result. That dynamic hits hardest at the lower end of the market, where Qualcomm’s new Snapdragon C series, Intel’s handheld lineup, and budget laptop designs from major OEMs all compete on thin margins.
The tension is visible even at the data center level. Nvidia’s Rubin Ultra, planned for 2027, is expected to adopt HBM4e memory, the next generation of high-bandwidth memory developed for AI accelerators. Supply-chain checks suggest that TSMC is allocating additional CoWoS-R packaging capacity and three-nanometer wafers for Vera CPU production, a sign of how tightly the supply chain is being managed even for Nvidia’s most important products.
The broader industry conversation at Computex this year is, in many ways, a reckoning with the limits of the current AI buildout. The bottleneck is no longer just the GPU. It is the entire rack, from power delivery and cooling to memory bandwidth and networking. Companies that can solve those system-level constraints, not just individual component performance, are the ones investors and customers are watching most carefully.
The Bigger Picture
Computex began as a trade show for PC components. Today it is something closer to the annual summit of the AI hardware industry. The companies presenting in Taipei this week are riding a historic wave of investment from the hyperscalers, from sovereign AI initiatives in governments around the world, and from enterprises that are only beginning to understand what deploying AI infrastructure at scale actually requires.
That wave has created enormous wealth for a concentrated group of companies and the people who work at them, and it has also sparked growing questions about who benefits from the AI boom and on what timeline. Those conversations are happening alongside the product launches and keynote presentations, and they give events like Computex a weight that goes beyond the hardware itself.
For the companies on stage in Taipei this week, the immediate task is simpler: prove that the next generation of silicon is real, that it works, and that it will be available in volume when customers need it. By those standards, Computex 2026 is shaping up as one of the most consequential technology gatherings in years.
