Torchcomms: New Experimental Communication API for PyTorch Distributed Training at Scale
By
paladin314159
Baker's choice. Dense with flavour, light on filler.
Summary
Torchcomms is a new experimental, lightweight communication API designed for PyTorch Distributed (PTD) that aims to enable large-scale model training. The initial release provides foundational APIs and backends, including NCCLX, a new backend capable of scaling to over 100,000 GPUs. The project focuses on core communication primitives for reliable and performant distributed training at massive scale, with plans to mature the offering over the next year.
Key quotes
· 5 pulledTorchcomms is a new experimental, lightweight communication API intended for use with PyTorch Distributed (PTD).
In addition to the core API, we are open-sourcing NCCLX, a new backend we developed to scale to over 100,000 GPUs.
With our first release of torchcomms, we're delivering the foundational APIs and backends required for large-scale model training in PyTorch.
This initial release focuses on core communication primitives that enable reliable and performant distributed training at scale.
Over the next year, we'll continue to mature the offering—introducing additional features and optimizations.
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