The Complete Homelab AI Assistant Setup — OpenClaw on Your Own Hardware

For a homelab AI assistant running OpenClaw with Docker Model Runner, 16GB RAM is the minimum recommendation for 7B parameter models. 32GB RAM allows for larger models and better performance. The instructor covers hardware recommendations and model selection for different homelab specifications.

Yes. Mini PCs and NUC-style devices with 16GB RAM or more are excellent homelab AI assistant platforms. They offer low power consumption, always-on capability, and sufficient performance for personal AI assistant use. The instructor covers compact homelab hardware options during the deployment module.

Homelab AI inference is slower than cloud AI for typical consumer hardware. With 16GB RAM and a modern CPU, expect 10 to 25 tokens per second with a 7B parameter model — perfectly usable for personal assistant conversations. The instructor covers performance expectations for different homelab configurations.

Yes. Once deployed with proper process management, your homelab AI assistant can run continuously. The workshop covers reliability configuration — including automatic restart on failure, monitoring, and maintenance procedures — so your homelab AI assistant stays available around the clock.

A mini PC or NUC running OpenClaw and Docker Model Runner typically consumes 15 to 35 watts at idle, rising during inference. At typical electricity rates this costs approximately $15 to $25 per year — far less than AI subscription services.

The workshop focuses on WhatsApp and Telegram as the interface — these platforms provide secure remote access without exposing your homelab directly to the internet. If you want direct HTTPS access, the instructor covers reverse proxy configuration during the deployment module.