At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs.NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows.
If you look at the entire journey of our company, Windows was at the core of it, Huang said, tracing back NVIDIA's support for Windows and Microsoft over several decades. If not for Windows there would be no GeForce.
NVIDIA founder and CEO Jensen Huang connected that history - and his long-term vision - to the agentic era Wednesday during a fireside chat with Microsoft CEO Satya Nadella hosted by Sriram Krishnan, a former senior White House policy advisor on AI at the Windows AI and Surface event, held at Dogpatch Studios in San Francisco.
The thing that I really give Jensen all the credit for, quite frankly, is that consistency of vision of what this can be-not today, not tomorrow, but as a secular trend, Nadella said. And that's what brings us to this moment.
The personal computer is the ultimate tool, it's my ultimate tool, and for a whole generation of people, it's our ultimate tool, Huang said. What happens in the era of agents, when the agent is on your computer? It is now your personal assistant.
The event opened with Nadella before Pavan Davuluri, Microsoft's EVP of Windows and Devices, walked through the Windows updates designed for the agentic era.
Turning Windows into a secure platform for agents, 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.
We are building these primitives directly into Windows, so agents can be secured, observed and governed, Davuluri explained. With MXC, Microsoft Security, and Agent 365, we're unlocking the full potential of agents on Windows.
Nadella returned to that theme in his talk with Huang. We needed to make the desktop the most secure place for agents to execute, Nadella said.
What Satya just said is going to be the foundation of the next generation of IT as we know it, Huang said. Just as Windows and DirectX revolutionized how applications were built, MXC is going to revolutionize how agents are built and deployed.
A New Beginning for Windows PCs: Preorder RTX Spark Laptops Today Among the announcements Huang and Nadella outlined Wednesday, RTX Spark puts the full NVIDIA AI stack into Windows laptops and compact desktops, with laptop preorders open today and available October 16. Compact desktops will be available for sale in November.
Windows is bringing local AI closer to everyday work, while new hardware gives developers room to run increasingly capable models right on their PC. Introducing Surface Laptop Ultra, Pavan Davuluri tied that vision to NVIDIA RTX Spark.
We built Surface Laptop Ultra around NVIDIA RTX Spark. With up to 128 gigs of unified memory and up to a petaflop of AI compute, you can run models on this laptop that simply don't fit on a traditional machine, Davuluri said.
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.
RTX Spark 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.
One petaflop of FP4 AI performance and up to 128GB unified memory makes RTX Spark effective for local AI. It can run models such as Qwen 3.8 Flash Next, a 125B model with 51B n-gram that matches the intelligence of many cloud models, unmetered and without sending data to the cloud.
RTX Spark runs the full NVIDIA CUDA platform - the same software stack that runs across NVIDIA hardware - and is built for every way people use a PC:
Developers can move models, tools and workflows without rewriting, running the same NVIDIA AI stack from RTX Spark to DGX Station.
Creators get 5th-generation Tensor Cores with NVFP4 support, hardware-accelerated AV1, and 4:2:2 video encode and decode, DLSS and RTX ray tracing across the full production pipeline.
Gamers can run AAA games at 1440p over 100 frames per second with DLSS 5, Reflex and G-SYNC.
The compact desktop configuration puts the same RTX Spark superchip in a small chassis designed for 24/7 operation - a dedicated local AI system that keeps agents running continuously. Preorder RTX Spark today.
NVIDIA DGX Station for Windows: Frontier AI Compute on the Enterprise Desktop The event previewed NVIDIA DGX Station for Windows today - 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.
Until now, DGX Station ran on Linux - which meant enterprise developers maintained two separate environments: Linux for heavy AI workloads and Windows for the productivity tools, applications and workflows.
The vast majority of Fortune 500 companies are standardized on Windows, and that gap has cost developers time and resources - developers either moved to Linux to access AI compute, or stayed in Windows with limited hardware options for heavy-duty model development and multi-agent workloads.
NVIDIA DGX Station for Windows runs on the GB300 Grace Blackwell Ultra Desktop Superchip, delivering 748GB of coherent memory and up to 20 petaFLOPS of FP4 AI compute - enough to run models up to a trillion-parameter scale locally.
Teams of developers and researchers at AI-native companies, leading research labs and enterprises can build and run always-on AI agents that connect directly to the Windows a
