Sylvain Jeaugey

Sylvain Jeaugey is a senior software engineer at NVIDIA developing the NCCL library since its creation in 2015. He has 15 years of experience in large scale distributed computing. He has been working on various MPI implementations, developing and integrating high-speed networks technologies, and designing large network fabrics.
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Posts by Sylvain Jeaugey

Networking / Communications Nov 10, 2025

Fusing Communication and Compute with New Device API and Copy Engine Collectives in NVIDIA NCCL 2.28

The latest release of the NVIDIA Collective Communications Library (NCCL) introduces a groundbreaking fusion of communication and computation for higher... 9 MIN READ
Networking / Communications Jun 18, 2025

Improved Performance and Monitoring Capabilities with NVIDIA Collective Communications Library 2.26

The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multinode communication primitives optimized for NVIDIA GPUs and networking. NCCL... 11 MIN READ
Networking / Communications Mar 13, 2025

Networking Reliability and Observability at Scale with NCCL 2.24

The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multinode (MGMN) communication primitives optimized for NVIDIA GPUs and networking.... 14 MIN READ
Networking / Communications Jan 31, 2025

New Scaling Algorithm and Initialization with NVIDIA Collective Communications Library 2.23

The NVIDIA Collective Communications Library (NCCL) implements multi-GPU and multinode communication primitives optimized for NVIDIA GPUs and networking. NCCL... 9 MIN READ
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Networking / Communications Sep 16, 2024

Memory Efficiency, Faster Initialization, and Cost Estimation with NVIDIA Collective Communications Library 2.22

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.... 8 MIN READ
Data Science Feb 28, 2022

Doubling all2all Performance with NVIDIA Collective Communication Library 2.12

Collective communications are a performance-critical ingredient of modern distributed AI training workloads such as recommender systems and natural language... 8 MIN READ