NVIDIA Unveils NemoClaw for OpenClaw Community
NVIDIA has introduced a new NemoClaw software stack for the OpenClaw agent platform. The stack installs Nemotron models and the OpenShell runtime with a single command. It adds privacy and security controls for autonomous AI assistants.
The company says this work aims to make claws more trustworthy and scalable. Jensen Huang described OpenClaw as a foundational platform for personal AI. Peter Steinberger, creator of OpenClaw, said the project helps more people build secure agents.
Architecture and components
NemoClaw leverages the NVIDIA Agent Toolkit to streamline OpenClaw deployment. The installer sets up OpenShell to provide open models and a sandboxed runtime. That sandbox enforces data privacy, network policies, and other security guardrails.
Model access and hybrid operation
The stack supports any coding agent and open agent ecosystems. Agents can run open models like NVIDIA Nemotron locally on a user’s device. A privacy router option lets agents also call frontier models hosted in the cloud.
This hybrid approach blends local and cloud inference. It lets agents acquire new skills and complete tasks while obeying defined privacy rules. Policy-based controls govern what data agents can access and share.
Hardware and always-on operation
NemoClaw for OpenClaw can run on dedicated NVIDIA GeForce RTX PCs and laptops. It also supports NVIDIA RTX PRO workstations, DGX Station, and DGX Spark AI supercomputers. These platforms supply the continuous compute needed for always-on agents.
GTC build-a-claw event
Attendees at GTC can visit NVIDIA’s build-a-claw area in GTC Park from March 16 to 19. Hours are 1-5 p.m. on Monday and 8 a.m.-5 p.m. Tuesday through Thursday. Visitors can customize and deploy proactive, always-on assistants using NemoClaw and OpenClaw tools.
For further coverage and resources on NemoClaw and the OpenClaw Community, follow updates at Filmogaz.com. You can also view the GTC keynote by Jensen Huang and related sessions for technical details.
