Featuring a NVIDIA Blackwell GPU with up to 6,144 CUDA cores & 128GB of unified memory, RTX Spark is the brain behind powerful agents that do the work for you, all locally. Create, build, and play your way.
Learn more: https://nvidianews.nvidia.com/news/nv…
Explore NVIDIA RTX Spark: https://www.nvidia.com/en-us/products…

NVIDIA and Microsoft have co-developed the NVIDIA RTX Spark™ superchip
, a groundbreaking Arm-based platform designed to run powerful personal AI agents natively and securely on Windows PCs. Announced at Computex 2026, this system-on-a-chip (SoC) marks a major industry shift from cloud-dependent AI processing to data-center-grade, localized AI compute packed inside slim laptops and ultra-efficient desktops. [1, 2, 3, 4]
Hardware Architecture & Performance
The chip combines NVIDIA’s high-performance graphics and enterprise architecture into a single consumer-ready processor: [1, 2]
- Compute Power: Delivers up to 1 petaflop of FP4 AI performance.
- Processor Breakdown: Integrates a 20-core Grace CPU (custom-built with MediaTek) and a Blackwell RTX GPU featuring 6,144 CUDA cores.
- Unified Memory: Features up to 128GB of LPDDR5X unified memory linked via NVLink-C2C, giving it a massive performance-per-watt advantage.
- Process Node: Fabricated on a cutting-edge TSMC 3-nanometer process. [1, 2, 3, 4]
Built for Local AI Agents [1]
By running complex large language models (LLMs) locally, the platform solves core limitations associated with cloud AI subscription costs, latency, and data privacy. [1, 2]
- On-Device Capacity: Runs up to 120-billion-parameter LLMs with a 1 million token context window directly on the machine. [1]
- Windows Security Primitives: Microsoft and NVIDIA introduced a native Windows security environment to isolate and safeguard agent identity and operations. [1]
- NVIDIA OpenShell™: A specialized runtime that allows users to set governance policies, controlling exactly what local agents can do and automatically masking sensitive information if data must be routed to the cloud. [1]
- Ecosystem Adoption: Prominent open-source agent applications like Hermes Agent and OpenClaw are building native software leveraging this framework. [1, 2, 3, 4, 5]
Content Creation & Next-Gen Gaming [1]
Beyond automation, the massive unified memory footprint unlocks extreme creative and rendering capabilities: [1, 2]
- Adobe Integration: Adobe is rearchitecting Photoshop and Premiere from the ground up to operate twice as fast, natively accelerating features like Firefly Generative Fill and Generative Extend. [1]
- Heavy Editing & Rendering: Creators can locally edit up to 12K 4:2:2 video or render massive 90GB+ 3D scenes using OptiX and DLSS. [1, 2]
- 1440p Gaming: Gamers can play AAA titles at 1440p resolution exceeding 100 FPS with ray tracing. The platform introduces DLSS 4.5 Ray Reconstruction (featuring a second-gen transformer model coming to Blender 5.3) and RTX Video 4x Frame Generation. [1]
Initial designs are confirmed from top manufacturers, including the Microsoft Surface Laptop Ultra, ASUS, Dell (specifically the XPS 16 Creator Edition), HP (OmniBook series), Lenovo, and MSI, with Acer and GIGABYTE models following shortly after. [1]
Are you interested in learning more about the specific laptop models launching this fall, or would you like to explore the software developer tools available for building local AI agents on this hardware?
Read more
. Introducing Surface RTX Spark Dev Box
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