Distributed Llama on a Mac
Tensor-parallel Llama across cheap nodes (root + workers) · AI Clusters
Distributed Llama splits Llama-family models across multiple low-cost devices over the network (tensor parallelism) to speed up inference and pool RAM — one root node coordinates several workers. Build from the repo (make dllama), start workers with dllama worker --port 9998, then run the root with --workers . Works on CPUs/Raspberry-Pi clusters and Macs; pairs well with a small fleet of identical nodes.
Run Distributed Llama with FrontierStack
FrontierStack lists Distributed Llama in its AI Clusters catalog. Install or connect it from one place, then monitor its status, ports and certificate, secure it with the firewall and Malware Audit, and back it up.
Run it all from one Mac app.
FrontierStack installs, monitors and secures the whole stack — locally and across your fleet — from a single native macOS app.
Download FrontierStack