UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
Collective communications library with various primitives for multi-machine training.
Curated resources on RDMA, collectives, and AI cluster fabrics for GPU performance engineers
Switchless RoCE collectives, NCCL profiles and fabric tooling for DGX Spark inference recipes
Latent communication fabric for continuously evolving agent collectives — training-free orthogonal alignment of hidden states as a network primitive.