Smolcluster runs distributed Llama 3.2 inference
Smolcluster is an educational distributed computing library that enables training and inference across heterogeneous hardware. Its latest "allToall" architecture implementation allows 3x Mac Mini M4s to run Llama 3.2-1B-Instruct using high-speed Thunderbolt 4 interconnects and raw socket communication.
Smolcluster demystifies AI infrastructure by replacing complex backends like NCCL with raw Python sockets, making distributed systems readable and accessible for home-lab developers. It leverages Thunderbolt 4 for low-latency communication between Apple Silicon nodes, bypassing traditional networking bottlenecks. The "allToall" architecture removes master-node bottlenecks, while the library implements advanced paradigms like FSDP and MoE sharding from scratch in pure Python and PyTorch.
DISCOVERED
21d ago
2026-03-22
PUBLISHED
21d ago
2026-03-22
RELEVANCE
AUTHOR
East-Muffin-6472