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GPU maker Nvidia is preparing to launch its own open source AI agent platform to compete with the likes of OpenClaw, according to a recent Wired report . The company has been pitching the platform, which it is calling NemoClaw, to various corporate partners ahead of its annual developer conference next week .
Quick Overview
What Is NemoClaw?
NemoClaw, as the somewhat awkward name suggests, would be a direct competitor of OpenClaw (previously known as Moltbot and Clawdbot)—the system that attracted widespread attention in January for letting users direct “always-on” AI agents from their personal machines, using any number of underlying models .
The platform will allow companies to dispatch AI agents to perform tasks for their own workforces. Notably, companies will be able to access the platform regardless of whether their products run on Nvidia’s chips .
The Name Connection
The “Nemo” prefix connects to Nvidia’s Nemotron family of open-source models, which were designed specifically for agentic AI workflows . The “Claw” suffix directly references OpenClaw, making the competitive positioning unmistakable .
Last month, OpenAI hired OpenClaw creator Peter Steinberger “to drive the next generation of personal agents,” as founder Sam Altman put it, though the OpenClaw project will be run by an independent foundation with OpenAI’s support .
Why Security Is the Core Differentiator
OpenClaw’s Security Nightmare
OpenClaw was famously a security nightmare . Multiple companies, including Meta, banned employees from installing it on work machines due to the unpredictability of the agents and potential security risks .
A Meta safety employee even shared a story about an AI agent going rogue on her machine and mass deleting her emails .
NemoClaw’s Enterprise Approach
Nvidia appears to be learning from that chaos. Wired’s report says NemoClaw will include dedicated security and privacy tools as part of the platform—a direct play to reassure enterprise customers who want claw-style AI agents but can’t stomach the risk .
NemoClaw will offer:
- Security and privacy tools built into the platform
- Controlled environment for enterprise deployment
- User approval for sensitive actions
- Full audit trail capabilities
Corporate Partnerships
According to Wired, 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 .
Jensen Huang’s OpenClaw Enthusiasm
Earlier this month, Nvidia CEO Jensen Huang told CNBC that OpenClaw was “the most important software release probably ever” . The sudden interest in OpenClaw has seemingly driven a run on Mac Mini hardware with unified memory that’s well-suited to running the tool.
At a recent Morgan Stanley conference, Huang shared that OpenClaw reached in just 3 weeks the level of adoption that took Linux approximately 30 years to achieve .
Strategic Implications for Nvidia
Hardware Agnostic Strategy
NemoClaw will reportedly run on machines without Nvidia’s own GPUs . But as the maker of the GPUs that power the vast majority of underlying AI models, Nvidia stands to benefit from increased adoption of tools like NemoClaw that allow AI agents to plug away at a project for hours or even days at a time .
Shifting Away from CUDA’s Walled Garden
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 .
Going open source with NemoClaw represents a different playbook entirely—one aimed at setting standards in a new category before competitors can .
Competing in the Agent Era
With other companies developing chips and models that get around Nvidia’s control of the AI hardware market, the company’s close involvement with NemoClaw could also help it direct potential corporate AI partners toward its own hardware and services .
This move also comes at a moment when SaaS stocks are under pressure from investors who believe AI agents like OpenClaw could automate away large chunks of the enterprise software market. Nvidia offering those same companies a controlled, secure agent platform is a smart hedge—and a way to stay relevant as AI moves from training models to actually deploying them .
The Technical Foundation: Nemotron 3 Super
While NemoClaw is the platform, Nvidia has simultaneously released Nemotron 3 Super, a 120-billion-parameter open-source model built specifically for AI agents . Key features include:
- 100 million token context window – Can process entire codebases or lengthy reports in one go
- Mamba-MoE hybrid architecture – Solves multi-agent collaboration bottlenecks
- 85.6% success rate on OpenClaw tasks, rivaling Claude Opus 4.6
- Native NVFP4 precision pre-training optimized for Blackwell architecture
In benchmarks, Nemotron 3 Super achieved:
- 60.47% on SWE-Bench (software engineering)
- 91.75% on RULER@1M (long context)
- 90.21% on AIME25 (mathematical reasoning)
When to Expect NemoClaw
NemoClaw is expected to be unveiled at Nvidia’s GTC annual developer conference in San Jose next week , potentially alongside a new inference chip system that incorporates technology from startup Groq .
