NCCL
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
What is NCCL?
NCCL is a library of optimized communication primitives for collective multi-GPU and multi-node operations. It implements standard routines like all-reduce, broadcast, and all-gather specifically designed for NVIDIA GPUs, enabling efficient scaling of parallel computations across multiple devices. The library solves the problem of high-bandwidth communication between GPUs in distributed computing environments.
Deep learning researchers and engineers scaling training across multiple GPUs, HPC developers building distributed GPU applications, and anyone needing optimized inter-GPU communication for parallel computations.
Developers choose NCCL because it provides hardware-optimized implementations of collective operations that maximize bandwidth across various interconnects (PCIe, NVLink, InfiniBand). It's the industry-standard library for multi-GPU communication in NVIDIA ecosystems, offering better performance than generic MPI implementations for GPU-to-GPU communication.
Overview
Optimized primitives for collective multi-GPU communication
Use Cases
Best For
- Scaling deep learning training across multiple GPUs in a single server
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