NVIDIA Tutorial: Building Fully Local Autonomous Agents on Jetson
NVIDIA Developer · youtube · 2026-08-05
NVIDIA Jetson AI Lab shared a session on how to move beyond running local models to deploying fully autonomous AI assistants on edge hardware, with no cloud required.
Key highlights:
- Local assistant architecture: Uses OpenClaw to build a local assistant connecting chat workflows, browser tools, and multi-step tasks.
- Why tool-calling matters: Explores what changes when an AI system can reliably take actions and use tools autonomously.
- Safer deployments: NemoClaw extends this baseline with sandboxing, inference routing, and policy controls for production-ready edge deployments.
- Real-world use cases: Enables dynamic browser-based games, smart computer vision prototyping, and long-running research tasks entirely offline.
Related event: NVIDIA Releases Tutorial for Building Local Autonomous Agents on Jetson(2 posts)→
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