Nvidia Debuts RTX Spark Superchip in New AI PCs

At the IFA 2026 tech show in Berlin, hardware manufacturers showcased the first computers powered by Nvidia's Arm-based RTX Spark superchip. This system-on-a-chip integrates a Grace CPU featuring up to 20 cores with a Blackwell RTX GPU boasting up to 6,144 cores. This architecture shares memory across the chip, delivering local graphics performance estimated to sit between a discrete laptop-grade RTX 5070 Ti and RTX 5080. The design allows for ultra-thin form factors, such as the newly revealed Lenovo Yoga 9n 2-in-1. This 16-inch laptop measures 0.69 inches thick, features a 2880 x 1800 resolution 120-Hz OLED touch display, a 9.2-megapixel webcam, and supports up to 64 GB of memory.

Lenovo also introduced the Yoga Pro 9n, a 15-inch model measuring 0.66 inches thick with a 2560 x 1600 OLED screen, up to 128 GB of memory, and a Force Pad touchpad that supports the Yoga Pen Gen 2. Other upcoming RTX Spark laptops include the Dell XPS 16, Asus ProArt P16, Microsoft Surface Laptop Ultra, and the 14-inch HP OmniBook X 14. For desktop users, the Acer SFF RTX Spark and Asus ProArt Mini PC pack the same superchip and up to 128 GB of memory into Mac Mini-sized chassis, promising a petaflop of AI performance.

Nvidia faces competition from AMD, whose Ryzen Max+ Pro 495 chip powers the Framework Desktop and Lenovo's new ThinkCentre X Ultra. The ThinkCentre X Ultra offers 128 GB of memory for agentic AI models at an expected starting price of $3,699. While Nvidia has not released official pricing for RTX Spark systems, they will likely command a premium. For comparison, Apple's M5 Pro MacBook Pro with 24 GB of RAM starts at $2,349, while a 128-GB model costs $6,139.

For AI practitioners, these local systems represent a major shift toward decentralized development. Having up to 128 GB of unified memory and a petaflop of local performance allows developers to run complex agentic AI workflows, such as OpenClaw, entirely on-device. This local execution eliminates latency, cuts cloud computing costs, and ensures strict data privacy when handling sensitive financial or personal information.