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Microsoft has launched the Surface Laptop Ultra at Computex 2026, powered by Nvidia’s RTX Spark superchip and Blackwell GPU technology, signaling a major step toward AI-first Windows computing. The Surface Laptop Ultra is optimised for RTX Spark and runs on Windows 11, with Microsoft making specific OS-level changes to take advantage of the unified memory architecture, including raising the memory ceiling available to the GPU.
Microsoft has announced the Surface Laptop Ultra, its high-end laptop built around NVIDIA’s newly announced RTX Spark chip. It is the first Surface laptop to feature an NVIDIA Blackwell RTX GPU with full CUDA support. Microsoft is positioning it squarely at developers, AI builders and creative professionals who have outgrown what conventional laptops can handle and it launches later this year.
RTX Spark chip combines a Blackwell RTX GPU with a 20-core Grace CPU, connected through NVIDIA’s NVLink chip-to-chip interface and supports up to 128 GB of unified memory. That memory pool is dynamically shared between the CPU and GPU depending on workload, which means large AI models, heavy 3D renders and multi-model workflows can all run simultaneously without hitting memory walls.
Following are the key features and specifications of Surface Laptop Ultra.
On the gaming side, League of Legends, Valorant, PUBG, Alan Wake 2 and others have confirmed support. Since RTX Spark is a Windows on Arm platform, game compatibility will depend on a mix of native Arm builds, Prism emulation and anti-cheat support.
Also Read: First NVIDIA-Powered Windows PCs Expected to Debut at Computex Next Week
CPUs have become an increasingly important part of AI data centers due to the growing use of AI Agents. The Surface Laptop Ultra will be available later in 2026 and pricing is yet to be announced. The laptop will be available in two colours: Platinum and a new Nightfall finish.
AI PCs are quickly emerging as the next major computing category as users demand faster, smarter, and more personalized experiences. With powerful on-device AI processing, these systems can improve productivity, creativity, and privacy while reducing dependence on cloud-based services, making them increasingly attractive to consumers and businesses alike.
