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
Install or connect Distributed Llama; then check its status, ports and certificate from FrontierStack. The same screen links to firewall checks, Malware Audit and backups where they apply.
Run it from your Mac.
FrontierStack installs, monitors and secures services on this Mac and on linked servers.
Download FrontierStackApple notarized · Safe & secure · macOS 13 Ventura+