The chip maker is introducing a product for enterprise software companies, called NemoClaw. The platform will allow these companies to send AI agents to perform tasks for their own workforce. Sources say companies will be able to access the platform regardless of whether their products run on Nvidia chips or not.
The move comes as Nvidia prepares for its annual developer conference in San Jose next week. Ahead of the conference, Nvidia has approached companies including Salesforce, Cisco, Google, Adobe, and CrowdStrike to form partnerships for the agent platform. It is unclear whether these talks have resulted in official involvement. Sources say that since the platform is open source, it is likely that partners will get free, early access in exchange for contributions to the project. Nvidia plans to introduce security and privacy tools as part of this new open-source agent platform.
Nvidia did not respond to a request for comment. Representatives for Cisco, Google, Adobe and CrowdStrike also did not respond to requests for comment. Salesforce did not provide any statement prior to publication.
Nvidia’s interest in agents comes as people are increasingly adopting “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 automatically improve over time. Earlier this year, an AI agent known as OpenClaw – 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 acquired the project and hired the creator behind it.
OpenAI and Anthropic have made significant improvements in model reliability in recent years, but their chatbots still need help. Purpose-built AI agents or claws, on the other hand, are designed to execute multiple steps without any human supervision.
The use of clawbacks in an enterprise environment is controversial. WIRED previously reported that some tech companies, including Meta, have asked employees to refrain from using OpenClause on their work computers due to the agents’ unpredictability and potential security risks. Last month a Meta employee who oversees security and alignment for the company’s AI lab publicly shared the story of an AI agent going rogue on her machine and mass deleting her emails.
For Nvidia, Nameclaw appears to be part of an effort to court enterprise software companies by offering additional layers of protection for AI agents. This is another step towards the company’s adoption of an open-source AI model, 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 relied heavily on its CUDA platform, a well-known proprietary system that locks developers into creating software for Nvidia’s GPUs and creates a significant “moat” for the company.
Last month, the Wall Street Journal reported that Nvidia also plans to unveil a new chip system for inferential computing at its developer conference. The system will include a chip designed by startup Grok, with which Nvidia signed a multibillion-dollar licensing agreement late last year.
Paresh Dave and Maxwell Zeff contributed to this report.
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