NVIDIA has expanded the RTX Spark platform with new tools for running AI agents locally and gaming support from major studios including EA, Embark Studios and Ubisoft. The compact Windows PCs, arriving from partners such as Lenovo and Acer, combine local AI, content creation and gaming in a single machine.
What happened?
At IFA 2026, NVIDIA introduced the Personal AI Router (PAIR), a free open-source tool that discovers compatible PCs on the local network and distributes AI inference tasks among them. Instead of leaving a desktop or laptop idle, PAIR routes independent requests to available hardware. The tool works with GeForce RTX 20 Series or newer, RTX PRO, DGX Spark and Apple M4 or newer chips on Windows, macOS and Linux. Official details on the NVIDIA Blog.
The company also added support for larger open models such as Nemotron 3.5 Lightning, Qwen models, Meta’s Muse Glimmer and DeepSeek v4 Flash. Optimizations for llama.cpp and vLLM promise up to 1.9x faster local inference. On the gaming side, EA, Embark and Ubisoft are bringing titles to the RTX Spark platform, which already supports ray tracing and DLSS.
Why does this matter?
RTX Spark aims to combine the efficiency of Arm-based PCs with NVIDIA’s graphics and AI capabilities. With up to 128 GB of unified memory and 1 petaflop of AI compute, the platform allows running local models, creating content and gaming without full reliance on the cloud. PAIR makes it more practical to leverage existing home hardware, reducing the need to buy dedicated AI machines.
What changes in practice?
Users with multiple PCs can form a local AI cluster. Developers and enthusiasts gain more options for private agents. Gamers who want a Windows notebook or mini-PC with strong graphics performance and DLSS/ray tracing support also benefit. The platform is already available or arriving from various manufacturers.
Image credit: NVIDIA | Source: NVIDIA Blog
By Grok
