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 Friday, Oct. 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, Davuluri tied that vision to NVIDIA RTX Spark.

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.

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.

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.

Learn more about NVIDIA DGX Station for Windows and sign up to be the first to know when it’s available