back to top
HomeTechNvidia Is Building NemoClaw, an Open Source AI Agent Platform That Runs...

Nvidia Is Building NemoClaw, an Open Source AI Agent Platform That Runs on Any Chip

NemoClaw launched on March 16 as an early alpha preview. The hardware agnostic promise held up, it runs on Linux, macOS and Windows WSL with Docker. The security layer is real, built on OpenShell with network, filesystem and process isolation. It is not production ready yet but the foundation is solid.

- Advertisement -

The company that sells the chips just built software that runs on everyone else’s chips.

Nvidia is reportedly preparing to launch an open source AI agent platform called NemoClaw at GTC 2026 next week in San Jose. People familiar with the plans say the platform will let enterprise companies deploy AI agents across their workforces regardless of whether they run on Nvidia hardware or not.

Nvidia hasn’t confirmed anything publicly yet. But the conversations with companies like Salesforce, Cisco, Google, Adobe and CrowdStrike are apparently already happening.

So what actually is NemoClaw?

Think of it as a platform that lets companies send AI agents out to do work on behalf of their employees. Not a chatbot you talk to. An agent that actually goes and does things like processing emails, scheduling, pulling data, generating reports, crossing between different software systems & other works.

The difference from what exists today is the security layer. Right now enterprises are terrified of AI agents and honestly for good reason. We’ll get to that in a second.

NemoClaw is open source which means companies aren’t locked into paying Nvidia for access. They get the code, they customize it, they own their deployment. And because it’s hardware agnostic they can run it on whatever infrastructure they already have. AMD, Intel, doesn’t matter.

That last part is the one that keeps coming up in every conversation about this. A chip company releasing software that deliberately works on rival chips is unusual enough to make people stop and ask why.

The answer is probably that Nvidia has decided owning the software layer is worth more than protecting the hardware moat. Jensen Huang’s keynote on March 16 at GTC will likely tell us how serious they are about that bet.

The OpenClaw problem NemoClaw is solving

To understand why enterprises need NemoClaw you have to understand what happened with OpenClaw.

Earlier this year an open source AI agent called OpenClaw took Silicon Valley completely by surprise. It ran locally on your machine, completed work tasks autonomously, and became GitHub’s most starred project faster than anything before it. Developers loved it. Companies started using it. Then things got weird.

Meta told employees to stop using it on work computers. The reason wasn’t complicated — the agents were unpredictable and nobody could fully control what they were doing with company data. Then a Meta employee who works on AI safety publicly shared what happened when she let an agent run on her machine. It went rogue and mass deleted her emails.

That’s not a edge case horror story. That’s a senior AI safety researcher at one of the world’s biggest tech companies losing her emails to an agent she was supposed to understand better than most people.

It gets worse. A security researcher managed to hijack an OpenClaw agent in under two hours.

OpenAI saw the momentum and acquired the project. The creator Peter Steinberger joined Sam Altman’s team. Which means the most popular open source agent in history is now under the control of a closed source company.

Enterprises were left in an awkward spot. They wanted agents. They couldn’t trust the ones that existed. And the most promising one just got acquired.

That’s the gap Nvidia is walking into with NemoClaw.

Also Read: Small But Powerful AI Models You Can Run Locally on Your System

Who Nvidia is talking to?

According to people familiar with the plans, Nvidia has approached Salesforce, Cisco, Google, Adobe and CrowdStrike ahead of the GTC announcement. That’s not a random list. That’s enterprise software, cloud infrastructure, network security, creative tools and cybersecurity all in one conversation.

But None of these companies have confirmed anything. Nvidia didn’t respond to press requests either. So we’re talking about conversations that are reportedly happening, not signed deals.

The open source angle actually explains why. If NemoClaw is truly open source the partnership model probably isn’t about licensing fees. It’s more likely early contributors get free access and influence over the platform’s direction in exchange for building integrations and contributing to the codebase. That’s how most successful open source enterprise plays work.

CrowdStrike being on that list is the most interesting one to me. A cybersecurity company partnering on an AI agent platform that’s specifically being built to address security concerns. That’s either a very smart move or a very convenient story. Probably both.

Why Nvidia is giving away software for free

Here’s something worth thinking about. Nvidia spent years building CUDA, a proprietary software platform that essentially forced every serious AI developer to buy Nvidia hardware. It worked spectacularly. It made them one of the most valuable companies on the planet.

And now they’re building software that runs on their competitors’ chips.

That’s not an accident or a PR move. Google is building TPUs. Amazon has Trainium. Meta is developing its own silicon. Nvidia’s biggest customers are quietly trying to stop needing Nvidia. If that trend continues the hardware moat they built starts to look less permanent.

So the move makes sense. If you can’t guarantee everyone buys your chips forever, become the company that runs the software layer on top of whatever chips exist. Own the agent runtime before Microsoft, Google or Anthropic locks it down first.

It’s honestly a smart pivot. The question is whether they’re early enough to pull it off. The agent space is moving fast and everyone is building in the same direction right now.

The honest take

NemoClaw isn’t released yet. Everything we know comes from people familiar with the plans, not from Nvidia directly. The GTC keynote on March 16 is where we’ll find out if this is as significant as it sounds or another enterprise platform that gets announced and quietly forgotten.

But the context around it is real. Enterprises want agents and can’t trust the ones that exist. OpenClaw went viral, got acquired, and left a security shaped hole in the market. Nvidia has the engineering credibility, the enterprise relationships and now apparently the strategic motivation to fill that gap.

The hardware agnostic part is what I keep coming back to. If that’s genuine and not just marketing language, it changes the conversation completely. An open source agent platform that runs on anything, backed by Nvidia’s infrastructure expertise, with security built in from the start is exactly what enterprises have been asking for.

Whether NemoClaw actually delivers that is a question Jensen Huang’s keynote will start to answer next week.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy

LEAVE A REPLY

Please enter your comment!
Please enter your name here

YOU MAY ALSO LIKE
Claude Mythos 5 and Claude Fable 5

Claude Mythos 5 Was Too Powerful to Ship. Anthropic Released Fable 5 Instead.

0
Anthropic gave stripe early access to Fable 5 and set it loose on a 50 million line Ruby codebase. The migration that would have taken a full engineering team over two months got done in a day. That's a real company's real codebase and a task with real consequences if it goes wrong. Anthropic leads with it because it's the kind of result that's hard to argue with & because it sets up everything else they need to tell you about why this launch looks the way it does. Because here's the thing. The model Anthropic actually built Claude Mythos 5, isn't what most people are getting today. What's going live for general use is Claude Fable 5. Same underlying model. Different version. The parts Anthropic decided were too dangerous for public release got a separate wrapper, a separate name, and a separate approval process controlled in part by the US government.
Amazon Added AI Merch to Its Shopping App

Amazon Just Made Print-on-Demand a Default Shopping Feature. The Platforms Built Around It Should...

0
Amazon didn't hold a press event for this. Just a quiet update to the Shopping app, tap the Alexa icon, describe what you want on a T-shirt, watch it appear. Add to cart. Prime shipping handles the rest. That's it. That's the whole barrier now. For years, turning an idea into a physical product meant either learning design tools, hiring someone who had, or finding a platform that made it slightly less painful. Print-on-demand services like Redbubble and Fourthwall built real businesses around that problem. Amazon just solved that problem too.
ideogram 4.0 ai model

Ideogram 4 Topped the Open-Weight Leaderboard. Then We Read the License.

0
Ideogram was founded by former Google Brain researchers who worked on Imagen, Google's own text-to-image system. When that team releases an open-weight model, you pay attention. Ideogram 4 tops the open-weight design leaderboard by a margin that isn't close. Professional designers picked it first in blind typography tests nearly half the time. At 9.3B parameters it beats open models three times its size on text rendering. Then we read the license.