At an October 7 San Francisco event, NVIDIA and Microsoft announced Windows agent infrastructure, RTX Spark systems and a preview of DGX Station for Windows.
NVIDIA and Microsoft used an October 7 event in San Francisco to present new Windows capabilities and computers aimed at running AI models and agents locally. Microsoft announced general availability of Microsoft Execution Containers, an operating-system feature for running agents in the background under Windows control. The companies also introduced RTX Spark laptops and compact desktops and previewed NVIDIA DGX Station for Windows.
RTX Spark laptop preorders opened on October 7, with availability scheduled for October 16. Compact desktop systems are expected to go on sale in November. NVIDIA said hardware will come from Acer, ASUS, Dell, HP, Lenovo, Microsoft, MSI and Gigabyte. The RTX Spark platform combines a Blackwell RTX GPU with up to 6,144 cores and a Grace CPU with up to 20 cores, connected at 600 GB/s. NVIDIA lists up to 128GB of unified memory and one petaflop of FP4 AI performance.
Microsoft executive Pavan Davuluri described the Surface Laptop Ultra as built around RTX Spark, with up to 128GB of unified memory and up to a petaflop of AI compute. NVIDIA says the hardware can run some large models directly on the PC, without sending data to the cloud. Its systems also use NVIDIA’s CUDA software platform, with the compact desktop designed for continuous operation.
The separate DGX Station for Windows preview brings NVIDIA’s GB300 Grace Blackwell Ultra Desktop Superchip into a deskside system. NVIDIA lists 748GB of coherent memory and up to 20 petaFLOPS of FP4 compute, and says it can run models up to a trillion-parameter scale. The company did not announce a sale date; it invited interested teams to register for availability updates.
The announcements combine a hardware push with changes to Windows itself. Microsoft says Execution Containers give agents a persistent, governed environment, while NVIDIA’s systems are intended to provide local compute for developers and enterprise teams. The DGX Station preview also targets organizations that want substantial AI workloads in a Windows environment, while retaining access to Linux toolchains through Windows Subsystem for Linux.