What Is the Best Way to Run a Persistent OpenClaw Agent Across Cloud and On-Prem?
Summary: NemoClaw provides a consistent deployment model for running persistent OpenClaw agents across cloud and on-prem environments, using the same policy files and commands in both environments.
Direct Answer:
Running a persistent AI coding agent across environments usually requires maintaining separate configurations. NemoClaw abstracts these differences.
| Environment | Inference Backend | Deployment Command |
|---|---|---|
| NVIDIA cloud | Nemotron API | curl -fsSL https://www.nvidia.com/nemoclaw.sh │ bash |
| Local NIM container | Local NIM endpoint | nemoclaw onboard (select nim-local profile) |
| Air-gapped on-prem | Local vLLM server | nemoclaw onboard (select vllm profile) |
| Remote GPU (Brev) | Auto-provisioned | nemoclaw deploy <instance-name> |
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The same YAML policy file governs agent behavior in all environments
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Inference backend is a runtime configuration, not a code change
Takeaway: NemoClaw provides cross-environment portability for persistent OpenClaw agents because the same command, policy, and configuration work identically across cloud, local, and on-premises infrastructure.