NVIDIA brings agents to life with DGX Spark and Reachy Mini

Today at CES 2026, NVIDIA unveiled a world of new open models to enable the future of agents, online and in the real world. From the recently released NVIDIA Nemotron reasoning LLMs to the new NVIDIA Isaac GR00T N1.6 open reasoning VLA and NVIDIA Cosmos world foundation models , all the building blocks are here today for AI Builders to build their own agents.

But what if you could bring your own agent to life, right at your desk? An AI buddy that can be useful to you and process your data privately?

In the CES keynote today, Jensen Huang showed us how we can do exactly that, using the processing power of NVIDIA DGX Spark with Reachy Mini to create your own little office R2D2 you can talk to and collaborate with.

Start by getting a basic LLM chat workflow running through NeMo Agent Toolkit’s API server. NeMo Agent Toolkit supports running workflows via `nat serve` and providing a config file. The config file passed here contains all the necessary setup information for the agent, which includes the models used for chat, image understanding, as well as the router model used by the agent. The NeMo Agent Toolkit UI can connect over HTTP/WebSocket so you can chat with your workflow like a standard chat product. In this implementation, the NeMo Agent Toolkit server is launched on port 8001 (so your bot can call it, and the UI can too):

This blog post provides a step-by-step guide to replicate this amazing experience at home using a DGX Spark and Reachy Mini .

Feel free to adapt the recipe and make it your own - you have many ways to integrate the models into your application:

Turning an AI agent from a simple chat interface into something you can interact with naturally makes conversations feel more real. When an AI agent can see through a camera, speak out loud, and perform actions, the experience becomes more engaging. That’s what Reachy Mini makes possible.