Nemoclaw User Deploy Remote
This handles the deployment of NemoClaw to remote GPU instances through Brev, though the old `nemoclaw deploy` command is deprecated now. The current workflow is straightforward: provision a VM, install NemoClaw on the host, then run `nemoclaw onboard`. You'll need the Brev CLI authenticated, provider credentials for your inference backend, and HF_TOKEN set if you're working with gated models. One thing to watch for is setting CHAT_UI_URL in your Brev launchable environment config before the sandbox image builds. It's a utility skill that saves you from manually configuring GPU instances, which matters if you're spinning these up regularly for inference work.
- skills.sh installs
- 811
- GitHub stars
- 3.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nvidia/skills --skill nemoclaw-user-deploy-remote --agent claude-codeInstalls into .claude/skills of the current project.
Files
This handles the deployment of NemoClaw to remote GPU instances through Brev, though the old `nemoclaw deploy` command is deprecated now. The current workflow is straightforward: provision a VM, install NemoClaw on the host, then run `nemoclaw onboard`. You'll need the Brev CLI authenticated, provider credentials for your inference backend, and HF_TOKEN set if you're working with gated models. One thing to watch for is setting CHAT_UI_URL in your Brev launchable environment config before the sandbox image builds. It's a utility skill that saves you from manually configuring GPU instances, which matters if you're spinning these up regularly for inference work.
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- Repository
- github.com/nvidia/skills
- Categories
- Security, DevOps & CI/CD, AI & Agent Building, Release Management, Cloud & Infrastructure
- First seen
- Jul 14, 2026
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