Nvidia GTC 2026: Nvidia launches NemoClaw, eyes to pair with DGX Spark, DGX Station

Nvidia launched a project called NemoClaw, which aims to replicate OpenClaw for the enterprise. And the bet is that NemoClaw pairs well with Nvidia's DGX Spark and DGX Station systems.

The AI infrastructure last year rolled out DGX Spark and DGX Station, two efforts to give AI developers the horsepower to create and tune models locally. The latest DGX Spark and DGX Station systems will be available through ASUS, Dell Technologies, GIGABYTE, MSI, Supermicro and HP with orders now and shipping in the months ahead.

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With Nvidia CEO Jensen Huang describing Open Claw as one of the more important software developments in recent years, the company needed a local development option.

Nvidia NemoClaw is an open-source stack that simplifies running OpenClaw AI agents safely. NemoClaw installs the Nvidia OpenShell runtime as part of the Nvidia Agent Toolkit, an environment for running autonomous agents.

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The idea that the OpenClaw would be replicated by the most valuable company in the world is almost comical. OpenClaw founder Peter Steinberg was asked about why he started OpenClaw. The short version: "Sometimes you just want to talk to your computer," he said. "You also want AI that actually does things."

Steinberg, who counts Huang as one of his biggest fans, said:

"I wanted this since May. And to me, it was so obvious that all the big labs would be building it. The months passed and it was November and there was still nothing. And was like oh I have to do it myself? I just vibed it into existence basically. And then ever since it's been a rocket ship, but clearly people want AI that actually does things like. You have your own identity and now we, we're heading into a future where we make this possible."

DGX Spark will have integration with NemoClaw and support clustering up to four systems in a unified configuration. The setup creates what Nvidia calls a "desktop data center." A new software release for DGX Spark will provide orchestration and manageability for more iteration and moves to production.

For Nvidia DGX Station, the company also sees enterprises leveraging the GB300 Grace Blackwell Ultra Desktop Superchip, 748 gigabytes of coherent memory and up to 20 petaflops of AI compute performance to build NemoClaw agents.

DGX Station will run as a personal AI supercomputer or a compute node for teams that want the option of air-gapped configurations.

The plan for Nvidia is to give AI developers the ability to run NemoClaw agents locally and them move them to the cloud and AI factory.