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Platform Guide

Run OpenClaw on Proxmox VE

Deploy OpenClaw on your Proxmox hypervisor with lightweight LXC containers or full VMs. Perfect for homelabbers who want AI automation on their own hardware.

OpenClaw on Proxmox: What You Need to Know

Proxmox VE is a favorite among homelabbers and self-hosters, and it's an excellent platform for running OpenClaw. You have two main deployment options: LXC containers (lightweight, efficient) or full virtual machines (more isolation, GPU passthrough support).

For most users, an LXC container running Docker is the sweet spot. Create a Debian or Ubuntu LXC, install Docker inside it, and deploy your chosen OpenClaw wrapper using docker-compose. This gives you near-native performance with minimal overhead.

If you want to run local AI models alongside OpenClaw (via Ollama), you'll need GPU passthrough — which requires a full VM in Proxmox. Create a VM, pass through your NVIDIA or AMD GPU, install Docker, and run both OpenClaw and Ollama in the same environment.

The Proxmox community has created several one-click helper scripts (like those from tteck) that automate the entire setup process. These scripts create an LXC container, install Docker, and configure networking in under 2 minutes.

Resource allocation depends on your use case. A basic OpenClaw installation works well with 2 CPU cores and 2 GB of RAM. If running local models, allocate at least 4 cores, 16 GB RAM, and a dedicated GPU.

Pro Tips for Proxmox

Use LXC for Docker
An unprivileged Debian LXC container with Docker is the most efficient way to run OpenClaw on Proxmox. Overhead is negligible.
GPU Passthrough for Local Models
Need Ollama? Use a full VM with GPU passthrough. LXC containers don't support GPU passthrough reliably.
Backup with PBS
Use Proxmox Backup Server to create automated snapshots of your OpenClaw container. Recovery takes seconds.
Try tteck Scripts
Community helper scripts can automate Docker LXC creation. Check the Proxmox community forums for OpenClaw-specific scripts.

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