Nvidia plans to unveil its Arm-based N1 and N1X system-on-chips for laptops at Computex in June 2026, marking its entry into the consumer laptop processor market. This launch will position Nvidia against established competitors Intel, AMD, and Qualcomm in a sector that ships approximately 150 million units per year.
The company has secured the Taipei International Convention Center from June 1 to June 4 for product showcases and meetings, leading up to Computex, which runs from June 2 to June 5. CEO Jensen Huang is rumored to deliver a keynote at the Taipei Music Center on June 1, despite Nvidia not appearing on the official list of keynotes.
The N1 and N1X chips, developed in partnership with MediaTek, are based on the GB10 Superchip technology. The N1X features a 20-core Arm CPU and an integrated Blackwell-architecture GPU with 6,144 CUDA cores, equivalent to Nvidia’s RTX 5070 graphics card. The N1 chip aims at the mainstream efficiency laptop market, focusing on AI inference and productivity.
Benchmark leaks indicate that the N1X attains single-core scores of approximately 3,096 and multi-core scores of 18,837. These benchmarks are expected to surpass those of competitors like Intel’s Arrow Lake-HX, AMD’s Ryzen AI MAX, and Qualcomm’s Snapdragon X Elite. The AI acceleration capabilities of the N1X are estimated between 180 and 200 TOPS.
Analysts predict that laptops equipped with the new Nvidia chips will be priced between $1,000 and $1,500. Three additional N1 variants are planned for launch in the second quarter following the initial consumer release, with a next-generation N2 series expected in the third quarter of 2027. Nvidia is also collaborating with Intel on an x86-based chip that combines Intel CPU cores with Nvidia RTX GPU technology, although this product is not yet close to commercialization.
Nvidia’s entry into the mobile computing segment represents a significant shift from its traditional role of supplying discrete GPUs. The integrated architecture of the N1 chips resembles Apple’s M-series silicon, targeting thin-and-light designs with improved battery life.
