NVIDIA’s OpenClaw-style system aims to tackle its biggest security challenge

NVIDIA CEO Jensen Huang believes that every company should adopt an OpenClaw strategy — and the company is positioning itself to make that possible.

During his keynote at Nvidia’s GTC conference on Monday, Huang unveiled NemoClaw, an enterprise-focused AI agent platform. The system builds on OpenClaw, a widely used open-source framework designed for creating and running AI agents locally on a company’s own infrastructure.

NemoClaw essentially extends OpenClaw by incorporating enterprise-grade security and privacy capabilities. The goal is to transform OpenClaw into a secure, ready-to-use platform that organisations can deploy with minimal effort while maintaining control over how AI agents operate and handle sensitive data.

“For the CEOs, the question is, what’s your OpenClaw strategy?” Huang said during the presentation. “We need it. We all have a Linux strategy. We all needed an HTTP HTML strategy to start the internet. We all needed to have a Kubernetes strategy, which made it possible for mobile cloud to happen. Every company in the world today needs to have an OpenClaw strategy, an agentic systems strategy.”

Huang noted that Nvidia collaborated with Peter Steinberger, creator of OpenClaw, to develop NemoClaw.

Once available, NemoClaw will allow users to leverage a wide range of coding agents and open-source AI models — including Nvidia’s own NemoTron models — to build and deploy AI agents. The platform enables access to cloud-based models while running them within local environments, offering flexibility and control. It is also hardware-agnostic, meaning it does not require Nvidia GPUs to operate, and integrates with Nvidia’s NeMo suite for AI agent development.

At present, Nvidia describes NemoClaw as an early-stage alpha release. In a message to developers, the company noted, “Expect rough edges. We are building toward production-ready sandbox orchestration, but the starting point is getting your own environment up and running.”

The development of enterprise AI agent platforms has become a major focus across the industry in recent months. OpenAI introduced its own enterprise agent platform, Frontier, in February, while research firm Gartner highlighted the importance of governance systems for AI agents in a December report, emphasising their role in enabling enterprise adoption.

Huang suggested that OpenClaw represents a foundational shift similar to earlier open technologies. “OpenClaw gave us, gave the industry exactly what it needed at exactly the time,” he said. “Just as Linux gave the industry exactly what it needed at exactly the time, just as Kubernetes showed up at exactly the right time, just as HTML showed up. It made it possible for the entire industry to grab on to this open source stack and go do something with it.”