Nvidia, Microsoft, and Arm tease new N1X laptop processors ahead of Computex
The Taipei event is expected to host 1,500 exhibitors and will feature appearances from executives including Nvidia CEO Jensen Huang.
Microsoft, Nvidia, and Arm have fueled speculation that Nvidia is preparing to launch Arm-powered laptop chips at Computex after posting matching teaser messages ahead of the event.
Held annually in Taipei, Computex is among the technology industry’s most important events, bringing together leading chipmakers, hardware vendors, and AI companies. The 2026 edition, set to take place from June 2–5, will feature 1,500 exhibitors and major presentations from industry leaders, including Nvidia founder and CEO Jensen Huang.
The posts referenced the host city of Computex, where Huang is set to deliver a keynote. Industry reports have linked the event to the expected debut of Nvidia’s N1 and N1X processors, with laptop makers including Lenovo and Dell reportedly preparing devices based on the chips.
A new era of PC.
25.0528, 121.5990
— Windows (@Windows) May 29, 2026
A new era of PC.
25.0528, 121.5990
— NVIDIA GeForce (@NVIDIAGeForce) May 29, 2026
A new era of PC.
25.0528, 121.5990
— Arm (@Arm) May 29, 2026
If launched, the processors would give Windows on Arm a new major hardware partner and challenge Qualcomm’s dominance in the segment.
What we know about the N1 and N1X
Nvidia’s upcoming N1X processor is expected to feature a 20-core Arm-based CPU and an integrated GPU built on the company’s Blackwell architecture. The chip is designed for laptops and represents Nvidia’s entry into the Windows-on-Arm PC market.
Major PC manufacturers, including Dell and Lenovo, are reportedly preparing systems based on the new platform. Expected devices include models across Dell’s Alienware lineup and Lenovo’s Legion, IdeaPad, and Yoga families.
The launch has taken longer than initially anticipated. Earlier expectations pointed to a 2025 debut, but the rollout was reportedly delayed due to software readiness, platform compatibility work, memory supply considerations, and challenges related to the unified memory architecture.