Nvidia’s version of OpenClaw could solve its biggest problem: security

Nvidia CEO Jensen Huang believes that every company should have an OpenClaw strategy. And NVIDIA is here to provide that.

Nvidia has developed NemoClaw, an enterprise-level platform built on an autonomous viral local AI agent, Huang announced during his GTC keynote on Monday.

The open source platform is essentially OpenClaw with enterprise-level security and privacy considerations. The idea is to turn OpenClaw into a secure platform that organizations can leverage with a single command and control how agents behave and handle data, according to the company.

“For CEOs, the question is, what is your OpenClaw strategy?” Huang said on stage. “We needed it. We all had a Linux strategy. We all needed an HTTP HTML strategy, which gave rise to the Internet. We all needed a Kubernetes strategy, which made mobile cloud possible. Every company in the world today needs to have an OpenClaw strategy, which is a proxy strategy.”

Nvidia worked with OpenClaw creator Peter Steinberger to develop NemoClaw, Huang said.

Once released, NemoClaw users will be able to click on any coding agent or open an AI model, including Nvidia’s open NemoTron models to build and deploy AI agents. The platform allows users to access cloud-based forms on their local devices. The platform is hardware agnostic — it doesn’t need to run on Nvidia’s GPUs — and integrates with NeMo, Nvidia’s AI agent suite.

Right now, Nvidia describes NemoClaw as an early-stage Alpha program. “Expect rough edges. We’re moving toward a production-ready sandbox format, but the starting point is getting your environment up and running,” the company said on its website in a note to developers.

Building enterprise AI agent platforms has become daily soup in the AI ​​space in recent months.

OpenAI launched OpenAI Frontier, its open platform for enterprises to build and manage AI agents, in February. In December, global research firm Gartner released a report on how governance platforms for AI customers will serve as the critical infrastructure needed for organizations to adopt AI technology. Clearly, Nvidia got the message.

“OpenClaw gave us, and the industry gave us exactly what it needed at exactly that time,” Huang said. “Just as Linux gave the industry exactly what it needed at exactly the right time, just as Kubernetes came along at exactly the right time, just as HTML came along. It enabled the entire industry to grab this open source stack and start doing something with it.”