NVIDIA opened preorders for RTX Spark laptops and Microsoft announced general availability of Microsoft Execution Containers, OS-level infrastructure for running AI agents on Windows, at Microsoft’s Windows AI and Surface event in San Francisco on October 7, 2026, according to NVIDIA’s recap of the event.
The event, held at Dogpatch Studios, featured a fireside chat between NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella, hosted by Sriram Krishnan, a former senior White House policy advisor on AI. Huang traced NVIDIA’s support for Windows and Microsoft over several decades, saying Windows was at the core of the company’s journey and that without Windows there would be no GeForce. Nadella credited Huang’s consistency of vision as a secular trend that brought the companies to this moment.
Microsoft Execution Containers Reach General Availability
The event opened with Nadella before Pavan Davuluri, Microsoft’s executive vice president of Windows and Devices, walked through Windows updates designed for the agentic era. Chief among them: Microsoft announced general availability of Microsoft Execution Containers (MXC), the OS-level infrastructure that lets agents run safely and persistently in the background under operating system control.
Davuluri said Microsoft is building these primitives directly into Windows so agents can be secured, observed and governed, pointing to MXC, Microsoft Security and Agent 365. Nadella returned to that theme in his talk with Huang, saying Microsoft needed to make the desktop the most secure place for agents to execute. Huang said the approach would form the foundation of the next generation of IT: “Just as Windows and DirectX revolutionized how applications were built, MXC is going to revolutionize how agents are built and deployed.”
RTX Spark Laptops and Compact Desktops
RTX Spark puts the full NVIDIA AI stack into Windows laptops and compact desktops. Laptop preorders opened October 7, 2026, with laptops available October 16, 2026, and compact desktops going on sale in November 2026. Systems are coming from Acer, ASUS, Dell, HP, Lenovo, Microsoft, MSI and Gigabyte, with designs ranging from slim laptops to compact desktops built for always-on agents. Introducing the Surface Laptop Ultra, Davuluri said Microsoft built it around RTX Spark, with up to 128 GB of unified memory and up to a petaflop of AI compute, enough, he said, to run models that do not fit on a traditional machine.
The RTX Spark superchip combines an NVIDIA Blackwell RTX GPU with up to 6,144 cores and an up to 20-core NVIDIA Grace CPU connected at 600 GB/s, delivering up to one petaflop of FP4 AI performance with up to 128 GB of unified memory. NVIDIA’s RTX Spark product page lists a second laptop configuration pairing a 5,120-core GPU with an 18-core Grace CPU and up to 64 GB of LPDDR5X memory, with laptop power envelopes of 45–80 W, while the compact desktop runs at a 140 W TDP in a small chassis designed for 24/7 operation. All configurations run Windows 11. Named laptop models on the page include the ASUS ProArt P16, Dell XPS 16, HP OmniBook Ultra 16, Lenovo Yoga Pro 9n, Microsoft Surface Laptop Ultra and MSI Prestige N16 Flip AI+.
NVIDIA said RTX Spark runs the full CUDA platform natively, so developers can move models, tools and workflows without rewriting and run the same NVIDIA AI stack from RTX Spark to DGX Station; the company says the platform runs models up to 120 billion parameters with 1M context locally. NVIDIA also said the systems can run models such as Qwen 3.8 Flash Next, a 125B model with a 51B n-gram that it described as matching the intelligence of many cloud models, unmetered and without sending data to the cloud. For creators, NVIDIA lists fifth-generation Tensor Cores with NVFP4 support and hardware-accelerated AV1 and 4:2:2 video encode and decode; for gamers, the company says RTX Spark runs AAA titles at 1440p above 100 frames per second with DLSS 5, Reflex and G-SYNC.
NVIDIA DGX Station for Windows
The event also previewed NVIDIA DGX Station for Windows, which NVIDIA describes as the first deskside AI supercomputer to bring GB300 Grace Blackwell-class AI infrastructure directly into the Windows ecosystem. “This unlocks the power to run frontier-class models locally,” Davuluri said. “Capabilities that once required renting a cluster, now in a deskside supercomputer.”
DGX Station for Windows runs on the GB300 Grace Blackwell Ultra Desktop Superchip, which connects an NVIDIA Blackwell Ultra GPU to a 72-core Grace CPU through NVLink-C2C at 900 GB/s. The system offers up to 748 GB of coherent memory and up to 20 petaFLOPS of FP4 compute, which NVIDIA says is enough to run models of up to one trillion parameters locally. The DGX Station for Windows product page lists 252 GB of HBM3e GPU memory alongside 496 GB of LPDDR5X CPU memory, a ConnectX-8 SuperNIC with up to 800 Gb/s for linking multiple systems, an optional RTX PRO 6000 workstation GPU for ray-traced visualization and simulation, and access to Linux AI toolchains through the Windows Subsystem for Linux.
NVIDIA first announced DGX Station for Windows on May 31, 2026, at GTC Taipei, saying in its launch release that the system would support NVIDIA OpenShell on Windows — an open source runtime that creates an isolated sandbox for each agent using the new Windows security and containment primitives — and that it can run hundreds of agents simultaneously. Until now, DGX Station ran on Linux, which meant enterprise developers maintained separate environments for heavy AI workloads and Windows productivity applications; NVIDIA notes that the vast majority of Fortune 500 companies are standardized on Windows.
DGX Station for Windows is expected in the fourth quarter of 2026 from ASUS, Dell Technologies, GIGABYTE, HP, MSI and Supermicro, and NVIDIA is taking notification sign-ups for availability.
