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

Nvidia CEO Jensen Huang believes every company should have an OpenClaw strategy. And Nvidia is here to provide it.
Nvidia has developed NemoClaw, an enterprise-grade platform built on viral local AI autonomous 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 make OpenClaw a secure platform that companies can use with a single command and control how agents behave and handle data, the company said.
“For the CEOs, the question is: what is your OpenClaw strategy?” Huang said on stage. “We need it. We all need a Linux strategy. We all need an HTTP HTML strategy, which started the Internet. We all need a Kubernetes strategy, which made the mobile cloud possible. Every company in the world today needs an OpenClaw strategy, an agentic systems strategy.”
Nvidia worked with OpenClaw creator Peter Steinberger to develop NemoClaw, Jensen said.
Once released, NemoClaw users will be able to leverage any coding tool or open AI model, including Nvidia’s NemoTron open models, to build and deploy AI agents. The platform allows users to access cloud-based models on their local devices. The platform is hardware agnostic (it doesn’t need to run on Nvidia’s own GPUs) and also integrates with NeMo, Nvidia’s AI agent software suite.
For now, Nvidia describes NemoClaw as early-stage Alpha software. “Expect rough edges. We’re building a production-ready sandbox orchestration, but the starting point is to get your own environment up and running,” the company states on its website in a note addressed to developers.
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Building enterprise AI agent platforms has become the soup of the AI space in recent months.
OpenAI launched OpenAI Frontier in February, the open platform that allows companies to build and manage AI agents. In December, the global research firm Gartner released a report about how governance platforms for AI agents would provide the critical infrastructure that companies need to adopt AI technology. Nvidia clearly got the message.
“OpenClaw gave us, gave the industry exactly what it needed, right at that time,” Huang said. “Just like Linux gave the industry exactly what it needed, just at the right time, just like Kubernetes showed up at just the right time, just like HTML showed up. It made it possible for the entire industry to grab this open source stack and start doing something with it.”




