As Open Models Spark AI Boom, NVIDIA Jetson Brings It to ...

What’s Happening

Here’s the thing: The Cat 306 CR mini-excavator weighs just under eight tons and fits inside a standard shipping container.

It’s the machine a contractor rents when the job site is tight: a utility trench near a foundation, a basement dig in a dense neighborhood. The cab is roughly the size of a phone booth. (yes, really)

The operator sits [] As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge Open source generative AI models are leaving the data center and showing up in machines that work in the physical world.

The Details

From Orin to Thor, the NVIDIA Jetson family is becoming a common place to run models like NVIDIA Nemotron, Cosmos and Isaac GR00T and a growing list of community models like Qwen, Gemma, Mistral AI, GPT-OSS, PI and others. By Chen Su This Article X Facebook LinkedIn Copy link Link copied!

The operator sits close to the controls, two joysticks, multiple functions per hand. At CES earlier this year, that machine answered questions .

Why This Matters

In the demo, the Cat AI Assistant ran on NVIDIA Jetson Thor , an edge AI platform built for real‑time inference in industrial and robotic systems, NVIDIA Nemotron speech models are used for fast and accurate natural voice interactions. Qwen3 4B, served locally via vLLM, interprets requests and generates responses with low latency, no cloud link required. Beyond enterprise innovation, open models unlock new possibilities for developers to build and experiment freely.

This adds to the ongoing AI race that’s captivating the tech world.

The Bottom Line

All Jetson developer kits support OpenClaw, offering the flexibility to switch across open models from 2 billion parameters to 30 billion. With a frontier-class AI assistant running locally, users can power morning briefings, automate daily tasks, perform code reviews and control smart home systems — all in real time.

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