NVIDIA's NemoClaw venture aims to make OpenClaw safe for enterprises by adding security layers and improving performance.
NemoClaw Has Basically Fixed the Biggest Constraint On Deploying AI Models on the Edge
OpenClaw has taken the world by storm since it opened up an actual use case for AI in people's lives, which is why it has become an entity that has surpassed Linux in adoption, according to Jensen. At GTC 2026, NVIDIA managed to frame OpenClaw as secure for enterprises by adding layers on top of the foundations built by Peter Steinberger, the founder of OpenClaw. According to Jensen, NVIDIA gathered the 'world's best security researchers', and modified OpenClaw in a way that is safe to deploy inside enterprises, and Team Green gave it a new name, called NemoClaw.
OpenClaw brings people closer to AI and helps create a world where everyone has their own agents. With NVIDIA and the broader ecosystem, we’re building the claws and guardrails that let anyone create powerful, secure AI assistants.
- Peter Steinberger, Founder of OpenClaw
Based on what NVIDIA has disclosed, NemoClaw focuses on optimizing the original AI agent by adding an "Agent Toolkit", which allows the company to ensure a more secure communication within enterprise deployment. NemoClaw also leverages OpenShell, which runs autonomous agents in an "isolated sandbox that adds data privacy and security". Alongside this, NemoClaw gets access to other open-source resources within NVIDIA's ecosystem, such as cuDF, Nemotron Dynamo, cuOPT, and many other libraries and frameworks, which make the agent much more capable.
Jensen says that OpenClaw defines a new moment for the computing industry, with a shift towards 'agentic computing' similar to what Windows did for personal devices. He claims that Peter Steinberger and his team have instigated a revolution among humans, who are waking up to find AI actually useful in their daily lives, which is why its adoption has grown signifcantly, surpassing Linux, Blender, and other open-source efforts. As NVIDIA's CEO says, AI is at an inflection point amid the 'inference' craze, and OpenClaw-like utilities are indeed driving it.
Jensen also says that one of the best models to deploy with OpenClaw is the company's Nemotron 3 Super, an agentic-focused open-source LLM that was recently unveiled. Nemotron 3 Super specifically focuses on long-context workloads, while being confined to 120 billion parameters. Combined with NemoClaw's security layers and the privacy you get with Nemotron 3 Super, NVIDIA has effectively addressed the 'privacy' constraint for edge-deployed agents.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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