OpenClaw Hosting

Self-host autonomous AI agents on cheap VPS and GPU

Complete Vast.ai Guide for OpenClaw Hosting

This guide shows you how to deploy OpenClaw on Vast.ai — a GPU marketplace provider with plans starting at $0.10/hr (RTX 3060). We cover plan selection (consumer and datacenter GPUs from independent hosts), regions (global peer marketplace), the install steps and the price-to-performance ratio you should expect.

Why Vast.ai for OpenClaw?

Vast.ai's key strength for OpenClaw is cheapest spot GPU rates for batch OpenClaw jobs. Combined with consumer and datacenter GPUs from independent hosts, it is a strong choice for operators who want to run autonomous AI agents without overpaying for managed services.

Vast.ai pricing for OpenClaw

Plans on Vast.ai start at $0.10/hr (RTX 3060). 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 Vast.ai

1) Provision a Vast.ai 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 Vast.ai typically takes 25 minutes.

Benchmarks and gotchas

In our benchmarks, Vast.ai 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.