Nvidia is planning to launch an open-source AI agent platform called NemoClaw, aimed at enterprise software companies to automate tasks for their workforces. The company is pitching the platform to potential partners like Salesforce and Google ahead of its developer conference, offering security tools and early access in exchange for contributions.
The move aligns with growing interest in "claws," or autonomous AI agents that run locally, though their enterprise use is controversial due to security and unpredictability concerns. Nvidia's strategy seeks to court enterprises with enhanced security and embrace open-source models to maintain its AI infrastructure dominance beyond its proprietary CUDA platform.
The main topics covered are Nvidia's new open-source AI agent platform, its outreach to enterprise partners, the context and controversy around autonomous AI agents ("claws"), and Nvidia's strategic shift towards open-source software to complement its hardware business.
Nvidia is planning to launch an open source platform for AI agents, people familiar with the company’s plans tell WIRED.
The chipmaker has been pitching the product, referred to as NemoClaw, to enterprise software companies. The platform will allow these companies to dispatch AI agents to perform tasks for their own workforces. Companies will be able to access the platform regardless of whether their products run on Nvidia’s chips, sources say.
The move comes as Nvidia prepares for its annual developer conference in San Jose next week. Ahead of the conference, Nvidia has reached out to companies including Salesforce, Cisco, Google, Adobe, and CrowdStrike to forge partnerships for the agent platform. It’s unclear whether these conversations have resulted in official partnerships. Since the platform is open source, it’s likely that partners would get free, early access in exchange for contributing to the project, sources say. Nvidia plans to offer security and privacy tools as part of this new open-source agent platform.
Nvidia did not respond to a request for comment. Representatives from Cisco, Google, Adobe, and CrowdStrike also did not respond to requests for comment. Salesforce did not provide a statement prior to publication.
Nvidia’s interest in agents comes as people are embracing “claws,” or open-source AI tools that run locally on a user’s machine and perform sequential tasks. Claws are often described as self-learning, in that they’re supposed to automatically improve over time. Earlier this year, an AI agent known as OpenClaw—which was first called Clawdbot, then Moltbot—captivated Silicon Valley due to its ability to run autonomously on personal computers and complete work tasks for users. OpenAI ended up acquiring the project and hiring the creator behind it.
OpenAI and Anthropic have made significant improvements in model reliability in recent years, but their chatbots still require hand-holding. Purpose-built AI agents or claws, on the other hand, are designed to execute multiple steps without as much human supervision.
The usage of claws within enterprise environments is controversial. WIRED previously reported that some tech companies, including Meta, have asked employees to refrain from using OpenClaw on their work computers, due to the unpredictability of the agents and potential security risks. Last month a Meta employee who oversees safety and alignment for the company’s AI lab publicly shared a story about an AI agent going rogue on her machine and mass deleting her emails.
For Nvidia, NemoClaw appears to be part of an effort to court enterprise software companies by offering additional layers of security for AI agents. It’s also another step in the company’s embrace of open-source AI models, part of a broader strategy to maintain its dominance in AI infrastructure at a time when leading AI labs are building their own custom chips. Nvidia’s software strategy until now has been heavily reliant on its CUDA platform, a famously proprietary system that locks developers into building software for Nvidia’s GPUs and has created a crucial “moat” for the company.
Last month The Wall Street Journal reported that Nvidia also plans to reveal a new chip system for inference computing at its developer conference. The system will incorporate a chip designed by the startup Groq, which Nvidia entered into a multibillion-dollar licensing agreement with late last year.
Paresh Dave and Maxwell Zeff contributed to this report.
Meridiano
