NVIDIA and Microsoft Detail RTX Spark and AI Agent Plans for Windows
NVIDIA and Microsoft announced RTX Spark laptops and DGX Station for Windows at a San Francisco event. Learn what changed for local AI agents on Windows PCs.
NVIDIA and Microsoft announced RTX Spark laptops and DGX Station for Windows at a San Francisco event. Learn what changed for local AI agents on Windows PCs.
NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs with RTX Spark and AI Agents
RTX Spark puts the full NVIDIA AI stack into Windows laptops and compact desktops
laptop preorders open today and available October 16
Compact desktops will be available for sale in November
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, according to NVIDIA. 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. NVIDIA also announced RTX Spark, which 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. The event also previewed NVIDIA DGX Station for Windows, described as the first deskside AI supercomputer to bring GB300 Grace Blackwell-class AI infrastructure directly into the Windows ecosystem.
The announcements point to a shift in where AI models can run. 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. 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. 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. This is enough to run models up to a trillion-parameter scale locally, according to NVIDIA. For developers, this could mean running heavy AI workloads and Windows productivity tools on the same machine, rather than maintaining separate Linux and Windows environments.
The source story from NVIDIA states that RTX Spark laptop preorders opened on the day of the event, with availability on October 16, and compact desktops for sale in November. It also states that systems are coming from Acer, ASUS, Dell, HP, Lenovo, Microsoft, MSI and Gigabyte. The story includes a quote from Pavan Davuluri, Microsoft's EVP of Windows and Devices, saying that the Surface Laptop Ultra was built around NVIDIA RTX Spark, with up to 128 gigs of unified memory and up to a petaflop of AI compute. The source also notes that Linux AI toolchains remain accessible through WSL when needed for DGX Station for Windows.
Editorial interpretation: The source describes a move toward running AI agents locally on Windows, with MXC providing OS-level control and RTX Spark and DGX Station providing the hardware. This could reduce the need to send data to the cloud for certain AI tasks, as the source mentions running models 'unmetered and without sending data to the cloud.' The practical significance is that developers may be able to keep more of their AI work on their primary machine. The supplied feed entry is a concise summary; consult the canonical article for full context. It remains to be seen how these systems perform in real-world use, what the pricing will be, and how the availability dates will hold.
RTX Spark puts the full NVIDIA AI stack into Windows laptops and compact desktops. It 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. It offers one petaflop of FP4 AI performance and up to 128GB unified memory, according to the NVIDIA source story.
NVIDIA previewed DGX Station for Windows, described as the first deskside AI supercomputer to bring GB300 Grace Blackwell-class AI infrastructure into the Windows ecosystem. It runs on the GB300 Grace Blackwell Ultra Desktop Superchip, delivering 748GB of coherent memory and up to 20 petaFLOPS of FP4 AI compute, per the source.