NVIDIA says RTX Spark can localize AI coding workflows on one PC

NVIDIA on Friday said its new RTX Spark systems are designed to let developers code, test and deploy AI software on a single machine, rather than splitting work between a laptop, cloud model APIs and a cloud VM. The company said the platform uses the NVIDIA GB10 system-on-a-chip and large unified memory to support local coding agents, AI frameworks and GPU-accelerated development workflows. In NVIDIA’s account, RTX Spark laptops and compact desktops are intended to keep the full development cycle on-device. The company said the systems offer up to 128GB of unified memory and 1 petaflop of FP4 AI compute, allowing local execution of coding models including Qwen 3.8 Flash Next and reducing cloud token consumption for coding agents.

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