A private AI mini rack with four Framework Desktops
A four-node mini AI cluster using DeskPi trays and AMD chips is set up in a T1 mini rack to run Large Language Models locally, monitored via Home Assistant for energy efficiency, with automation through Ansible, though not as cost-effective as an M3 Ultra Mac Studio for large models.
MAIN POINTS FROM TRANSCRIPT
- A mini AI cluster with four nodes is housed in a T1 mini rack.
- The setup includes a NICGIGA 5 gigabit ethernet switch and DeskPi 2U trays.
- Energy efficiency is monitored through Home Assistant and a smart outlet.
- Ansible automates the Beowulf AI Cluster using AMD chips.
TAKEAWAYS
- DeskPi trays for the cluster are not yet available but expected soon.
- The setup can be adapted to different hardware, like Raspberry Pi.
- Detailed benchmarking and test data are available on Jeff Geerling's blog and YouTube.
- The cluster is fast but less cost-effective than an M3 Ultra Mac Studio for large models.