At a Microsoft event in San Francisco, NVIDIA CEO Jensen Huang and Microsoft CEO Satya Nadella described how the two companies are co-engineering hardware and software so AI agents can run on Windows PCs. Microsoft announced general availability of Microsoft Execution Containers (MXC), OS-level infrastructure that lets agents run safely and persistently in the background under operating system control.
On the hardware side, NVIDIA’s RTX Spark combines a Blackwell RTX GPU with up to 6,144 cores and an up to 20-core Grace CPU, with up to 128GB of unified memory and one petaflop of FP4 AI performance. Laptop preorders open now, with availability on Oct. 16 and compact desktops following in November. Systems are planned from Acer, ASUS, Dell, HP, Lenovo, Microsoft, MSI and Gigabyte, including Microsoft’s Surface Laptop Ultra. NVIDIA also previewed DGX Station for Windows, a deskside machine with the GB300 Grace Blackwell Ultra Desktop Superchip, 748GB of coherent memory and up to 20 petaFLOPS of FP4 compute, which NVIDIA says can run models up to a trillion parameters locally. Previously, DGX Station ran on Linux. Availability has not been announced; interested buyers can sign up for updates.
Why it matters
- Local AI on everyday PCs: NVIDIA says RTX Spark can run large models locally without metered cloud usage and without sending data to the cloud, which may appeal to privacy-conscious users and businesses.
- Safer agents on the desktop: MXC is meant to let agents run in the background while being secured, observed and governed by the operating system, addressing a key concern for companies adopting AI agents.
- Less friction for developers and enterprises: DGX Station for Windows lets teams that standardize on Windows build and run heavy AI workloads without maintaining a separate Linux environment, while WSL keeps Linux toolchains available. Creators and gamers also get RTX features such as AV1 encoding and DLSS 5 on the same hardware.
Source
- NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents — NVIDIA Blog, 07 Oct 2026
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