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We are open-sourcing the initial version of RCCLX – an enhanced version of RCCL that we developed and tested on Meta’s internal workloads. RCCLX is fully integrated with Torchcomms and aims to empower researchers and developers to accelerate innovation, regardless of their chosen backend.

Communication patterns for AI models are constantly evolving, as are hardware capabilities. We want to iterate on collectives, transports, and novel features quickly on AMD platforms. Earlier, we developed and open-sourced CTran , a custom transport library on the NVIDIA platform. With RCCLX, we have integrated CTran to AMD platforms, enabling the AllToAllvDynamic – a GPU-resident collective.…

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