OpenClaw Hosting

Self-host autonomous AI agents on cheap VPS and GPU

Complete GPU hosting Guide for OpenClaw Hosting

This guide shows you how to deploy OpenClaw on GPU hosting — a GPU compute overview provider with plans starting at $0.10-3.00/hr. We cover plan selection (consumer to H100 datacenter GPUs), regions (global providers), the install steps and the price-to-performance ratio you should expect.

Why GPU hosting for OpenClaw?

GPU hosting's key strength for OpenClaw is matches OpenClaw model size to the right GPU tier. Combined with consumer to H100 datacenter GPUs, it is a strong choice for operators who want to run autonomous AI agents without overpaying for managed services.

GPU hosting pricing for OpenClaw

Plans on GPU hosting start at $0.10-3.00/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 GPU hosting

1) Provision a GPU hosting 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 GPU hosting typically takes 25 minutes.

Benchmarks and gotchas

In our benchmarks, GPU hosting 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.