nccl

NumPy & SciPy for GPU

Safe rust wrapper around CUDA toolkit

An open collection of methodologies to help with successful training of large language models.

An open collection of implementation tips, tricks and resources for training large language models

Best practices & guides on how to write distributed pytorch training code

Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial

Distributed and decentralized training framework for PyTorch over graph

Federated Learning Utilities and Tools for Experimentation

NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.

N-Ways to Multi-GPU Programming

Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, allGather, reduceScatter and sendRecv operations.

A Julia wrapper for the NVIDIA Collective Communications Library.

Python Distributed Non Negative Matrix Factorization with custom clustering

🎹 Instruct.KR 2025 Summer Meetup: 오픈소스 LLM, vLLM으로 Production까지 🎹

NCCL Examples from Official NVIDIA NCCL Developer Guide.

High performance NCCL plugin for Bagua.

🐍 PyCon Korea 2025 Tutorial: vLLM의 OpenAI-Compatible Server 톺아보기 🐍

use ncclSend ncclRecv realize ncclSendrecv ncclGather ncclScatter ncclAlltoall

Summary of call graphs and data structures of NVIDIA Collective Communication Library (NCCL)

Nvidia NCCL2 Python bindings using ctypes and numba.