Nvidia has unveiled NemoClaw, an enterprise-grade AI agent platform built on the popular open-source OpenClaw framework, at its GTC 2026 conference. The new platform addresses growing enterprise concerns about security, privacy, and data sovereignty as organizations increasingly deploy autonomous AI agents.
What NemoClaw Offers
NemoClaw adds critical enterprise features to OpenClaw, including permission controls, action logging, privacy guardrails, and sandbox orchestration. The platform includes Nemotron open models for local inference and OpenShell, a runtime designed to execute autonomous agents more safely.
"Every company now needs to have an OpenClaw strategy," Nvidia CEO Jensen Huang declared during his keynote, comparing the framework's importance to Linux, Kubernetes, and HTML. The platform runs on various hardware, including GeForce RTX PCs, RTX PRO workstations, and DGX Spark supercomputers, while remaining hardware-agnostic overall.
The OpenClaw Connection
The announcement comes just weeks after Peter Steinberger, creator of OpenClaw, joined OpenAI in February 2026. OpenAI CEO Sam Altman confirmed the hire, saying Steinberger would "drive the next generation of personal agents" while maintaining OpenClaw as an open-source project.
The timing is significant. OpenClaw enables autonomous AI agents that can handle complex tasks like managing calendars, booking flights, and interacting with applications in real-time. However, the framework faced scrutiny after security incidents exposed risks of AI agents accessing private data.
Enterprise AI Agent Market Heating Up
Nvidia positioned NemoClaw as addressing these enterprise concerns. According to the company's 2026 report, 47-48% of telecom and retail companies have adopted AI agents for workflow automation. The platform is free and open-source, competing directly with OpenAI's proprietary agent solutions.
Nvidia also released Nemotron 3 Super, a 120-billion-parameter open model designed for complex agentic AI systems. The model scored 85.6% on PinchBench, a new benchmark for OpenClaw performance, making it the top-performing open model in its class.