Massively Scale Your Deep Learning Training with NCCL 2.4 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-13T20:13:39Z http://www.open-lab.net/blog/feed/ Sylvain Jeaugey <![CDATA[Massively Scale Your Deep Learning Training with NCCL 2.4]]> http://www.open-lab.net/blog/?p=13452 2022-08-21T23:39:19Z 2019-02-04T15:00:48Z Imagine using tens of thousands of GPUs to train your neural network. Using multiple GPUs to train neural networks has become quite common with all deep...]]> Imagine using tens of thousands of GPUs to train your neural network. Using multiple GPUs to train neural networks has become quite common with all deep...

Imagine using tens of thousands of GPUs to train your neural network. Using multiple GPUs to train neural networks has become quite common with all deep learning frameworks, providing optimized, multi-GPU, and multi-machine training. Allreduce operations, used to sum gradients over multiple GPUs, have usually been implemented using rings [1] [2] to achieve full bandwidth. The downside of rings is��

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