At a Microsoft event in San Francisco, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined a partnership to co‑engineer hardware and software for AI agents on Windows PCs. The event highlighted Microsoft Execution Containers (MXC), an OS‑level infrastructure that allows agents to run safely and persistently in the background, and announced that MXC will be integrated into Windows to secure, observe, and govern agents. NVIDIA introduced its RTX Spark superchip, which combines a Blackwell RTX GPU with up to 6,144 cores and a 20‑core NVIDIA Grace CPU connected at 600 GB/s, delivering up to one petaflop of FP4 AI performance and 128 GB of unified memory. RTX Spark will be available in Windows laptops and compact desktops, with preorders opening on October 16 and desktop availability in November. The partnership also unveiled the DGX Station for Windows, a deskside AI supercomputer built on the GB300 Grace Blackwell Ultra Desktop Superchip, offering 748 GB of coherent memory and up to 20 petaFLOPS of FP4 AI compute. This system enables enterprises to run frontier‑class models locally, eliminating the need to maintain separate Linux environments for heavy AI workloads. The announcements reflect a broader industry trend toward embedding powerful, local AI capabilities into mainstream Windows devices, providing developers and businesses with the tools to run large models and always‑on agents directly on their primary machines.
NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents
At a Microsoft event in San Francisco, NVIDIA CEO Jensen Huang and Microsoft CEO Satya Nadella announced a partnership to embed AI agents into Windows PCs. They introduced Microsoft Execution Containers (MXC) for secure agent operation and unveiled NVIDIA’s RTX Spark superchip, available in laptops and compact desktops, and the DGX Station for Windows, a deskside AI supercomputer. The announcements aim to bring powerful local AI to everyday Windows users and enterprises.
Why it matters
The collaboration signals a shift toward embedding advanced AI directly into Windows, reducing reliance on cloud services and enabling enterprises to run large models locally. It also expands hardware options for developers and users seeking high‑performance AI on familiar Windows platforms.