TL;DR: NVIDIA announced NemoClaw at GTC 2026 — an open source security stack for OpenClaw that adds local inference via Nemotron models and the OpenShell runtime for safer agent execution. It addresses the twin concerns of token costs and data privacy that have held back enterprise AI agent adoption.

What Is NemoClaw?

NemoClaw is NVIDIA's official open source stack for OpenClaw, announced at GTC 2026. It deploys optimizations specifically for running OpenClaw on NVIDIA GPUs — starting with the DGX Spark desktop AI supercomputer and RTX AI PCs.

The first two headline features:

Together, they form what NVIDIA calls "the missing infrastructure layer" for personal AI agents — giving OpenClaw the security and privacy controls enterprises have been demanding.

Why Token Costs and Privacy Matter

As adoption of agentic systems like OpenClaw grows, so do concerns about token costs and data privacy. Every agent task that calls a cloud LLM burns tokens — and for agents that run hundreds of tasks per day, that adds up fast. More importantly, sending your personal files, emails, and workflows to a cloud API raises legitimate privacy questions.

NemoClaw addresses both by pushing inference local. The Nemotron models (including the new Nemotron 3 Super 120B and Nemotron 3 Nano 4B) run directly on DGX Spark or RTX GPUs, keeping data on-device.

Hardware Support

NemoClaw is optimized for the full NVIDIA RTX lineup:

What Jensen Huang Said

During the GTC keynote, NVIDIA CEO Jensen Huang called OpenClaw "the operating system for personal AI" — strong validation for the platform. With NemoClaw, NVIDIA is essentially endorsing OpenClaw as the agent framework of choice for its hardware ecosystem.

Get Involved

Attendees at GTC 2026 can visit the build-a-claw event in GTC Park (daily through March 19, 8 a.m.–5 p.m.) where NVIDIA experts help participants customize and deploy their own OpenClaw agent.

For everyone else: nvidia.com/nemoclaw is the official landing page, and the stack is open source.