By Elizabeth Goodman
Publication Date: 2026-10-16 17:00:00
AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As a result, the current workflow is split across a laptop, a cloud model API, and a cloud VM.
NVIDIA RTX Spark is built for AI development. Thanks to the NVIDIA GB10 system-on-a-chip and large unified memory, developers can run local coding agents, access AI frameworks, and code, test, and deploy on a single PC.
One machine to code, test, and deploy
RTX Spark laptops and compact desktops enable developers to complete all of their workflow on a single machine.
Developers can choose to work in Windows, including the new Windows Developer Config, developed with Microsoft, which installs the top development frameworks, mutes notifications, enhances the terminal, and can move their task bar to the side. Or they can work in Windows Subsystem for Linux, where they get access to the same environment and dependencies they will use when deploying to the cloud.
This enables developers to complete all their work in their target OS without code migrations. And since RTX Spark has an NVIDIA GPU, developers can test and deploy to the largest local AI installed base: 150 million RTX PCs, as well as virtually all the clouds in the world that run on NVIDIA GPUs.
With up to 128GB of unified memory and 1 petaflop of FP4 AI compute, developers can run coding models locally, including Qwen 3.8 Flash Next, reducing cloud…
