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Agents

NVIDIA Enhances OpenClaw for Autonomous AI Agents

NVIDIA Blog·April 30, 2026·medium confidence

Why it matters

  • →OpenClaw's rapid adoption highlights the growing interest in self-hosted AI solutions. • NVIDIA's involvement aims to improve security and governance for organizations using autonomous agents. • The shift towards long-running agents represents a significant evolution in AI capabilities, impacting various industries.
NVIDIA Enhances OpenClaw for Autonomous AI Agents
©NVIDIA Blog

NVIDIA is collaborating with Peter Steinberger and the OpenClaw developer community to enhance the security and robustness of OpenClaw, a self-hosted AI assistant that has rapidly gained popularity, surpassing 250,000 stars on GitHub. OpenClaw allows users to deploy AI models locally, operating persistently to complete tasks autonomously. To support this initiative, NVIDIA introduced NemoClaw, a reference implementation designed to securely deploy OpenClaw with improved data access and security measures. This collaboration aims to address security concerns while promoting the use of long-running autonomous agents across various sectors, enhancing productivity and efficiency.

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NVIDIA's Blackwell Ultra NVL72 platform has emerged as a leader in the first agentic AI benchmark, AgentPerf, developed by Artificial Analysis. This benchmark is designed to measure the performance of AI systems handling complex, multi-step tasks, unlike traditional conversational AI benchmarks. The Blackwell platform outperformed others by running 20 times more agents per megawatt than its predecessor, NVIDIA Hopper. This advancement is significant for enterprises deploying AI agents at scale, as it directly impacts infrastructure efficiency and cost-effectiveness.

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