At the recent GTC 2026 conference in San Jose, Nvidia CEO Jensen Huang made a bold comparison: if Windows was the operating system for the personal computer, then OpenClaw is the operating system for personal AI. OpenClaw has quickly become a phenomenon in the tech world, but as these autonomous agents—often called “claws”—gain more power, concerns regarding their safety and privacy have moved to the forefront. With this in mind, Nvidia has introduced NemoClaw, an enterprise-grade version of the OpenClaw framework.
Nvidia unveils NemoClaw with improved security, one-command installation
One of the most impressive features of NemoClaw is its simplicity. According to Nvidia’s official announcement, the entire stack installs with a single command. This process automatically sets up Nvidia’s Nemotron models and a new security runtime called OpenShell.
Kari Briski, Nvidia’s VP of generative AI software, explained that OpenShell acts as the “missing infrastructure layer” for AI agents. While OpenClaw provides the “brain” and memory, OpenShell enforces policy-based security. This ensures that an agent stays within its defined boundaries, preventing it from accessing unauthorized networks or mishandling private enterprise information.
A hybrid approach to AI
NemoClaw also boasts performance. It uses a “privacy router” that allows agents to switch between local and cloud-based models. For example, a “claw” might use a local Nvidia Nemotron model for private tasks and then securely tap into a more powerful frontier model in the cloud for complex reasoning.
This flexibility allows developers to run their agents anywhere—from high-end RTX laptops and PCs to massive AI supercomputers like the DGX Spark. Nvidia is even positioning the DGX Station as a dedicated platform for those who want to build and run their own autonomous assistants around the clock.
Nvidia developed this project in close collaboration with Peter Steinberger, the founder of OpenClaw. Despite recently joining OpenAI, Steinberger continues to maintain the open-source project and praised Nvidia’s contribution for bringing “powerful, secure AI assistants” to the masses.
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