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NVIDIA brings agents to life with DGX Spark and Reachy Mini

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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.

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

If you want to start cooking right away, here’s the source code of the demo.

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.

Reachy Mini is designed to be customizable. With access to sensors, actuators, and APIs, you can easily wire it into your existing agent stack, by simulation or real hardware controlled directly from Python.


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