Memory Efficiency, Faster Initialization, and Cost Estimation with NVIDIA Collective Communications Library 2.22 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-02T18:57:57Z http://www.open-lab.net/blog/feed/ Giuseppe Congiu <![CDATA[Memory Efficiency, Faster Initialization, and Cost Estimation with NVIDIA Collective Communications Library 2.22]]> http://www.open-lab.net/blog/?p=87077 2024-09-19T19:30:36Z 2024-09-17T00:31:08Z For the past few months, the NVIDIA Collective Communications Library (NCCL) developers have been working hard on a set of new library features and bug fixes....]]> For the past few months, the NVIDIA Collective Communications Library (NCCL) developers have been working hard on a set of new library features and bug fixes....Decorative image of a cube of green cubes, surrounded by other cubes on a dark background.

For the past few months, the NVIDIA Collective Communications Library (NCCL) developers have been working hard on a set of new library features and bug fixes. In this post, we discuss the details of the NCCL 2.22 release and the pain points addressed. NVIDIA Magnum IO NCCL is a library designed to optimize inter-GPU and multi-node communication, crucial for efficient parallel computing��

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