OpenClaw Hosting

Self-host autonomous AI agents on cheap VPS and GPU

Complete NemoClaw stack Guide for OpenClaw Hosting

This guide shows you how to deploy OpenClaw on NemoClaw stack — a OpenClaw + NeMo reference stack provider with plans starting at from $0.20/hr. We cover plan selection (GPU node with NVIDIA NeMo and OpenClaw orchestrator), regions (RunPod or Vast.ai recommended), the install steps and the price-to-performance ratio you should expect.

Why NemoClaw stack for OpenClaw?

NemoClaw stack's key strength for OpenClaw is production reference stack for voice and multi-agent OpenClaw workloads. Combined with GPU node with NVIDIA NeMo and OpenClaw orchestrator, it is a strong choice for operators who want to run autonomous AI agents without overpaying for managed services.

NemoClaw stack pricing for OpenClaw

Plans on NemoClaw stack start at from $0.20/hr. For a single OpenClaw agent doing text-only work (Telegram, WhatsApp, support), the entry plan is sufficient. Heavier workloads with browser automation or local model inference should jump to a mid-tier plan with more vCPU and RAM.

Step-by-step OpenClaw install on NemoClaw stack

1) Provision a NemoClaw stack instance with Ubuntu 24.04. 2) SSH in and install Docker. 3) Pull the OpenClaw container and mount a persistent volume. 4) Configure your model API keys or local LLM endpoint. 5) Open the agent port behind a TLS reverse proxy. End-to-end setup on NemoClaw stack typically takes 25 minutes.

Benchmarks and gotchas

In our benchmarks, NemoClaw stack delivers consistent performance for OpenClaw workloads. Watch for: bandwidth caps on entry plans, snapshot pricing if you run frequent backups, and region selection — pick a datacenter close to the LLM API endpoint or your end users to minimize latency.