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NCCL EP (Expert Parallelism) - Release Notes

NCCL EP is a high-performance NCCL API extension for efficient Mixture-of-Experts (MoE) communication. It provides optimized dispatch and combine primitives for Expert Parallelism (EP) across distributed GPU systems implemented on top of NCCL Device API: Load-Store Accessible (LSA) and GPU-Initiated Networking (GIN) operations.

Known Limitations

This release has the following limitations:

Limitation Description
Limited QA coverage This release is considered experimental and had limited Quality Assurance (QA) testing
No FP8 support FP8 data types are not currently supported
Fabric selection Current version of API does not provide a way to force RDMA-only communication
Up to 8 nodes Maximum of 64 GPUs (8 nodes × 8 GPUs) is supported
Up to 8 ranks per node Only up to 8 GPUs per node is supported
max_tokens_per_rank required NCCL_EP_AUTO is not yet supported; max_tokens_per_rank must be set to the per-rank batch size (max tokens any single rank will dispatch)
Max Num Tokens Support Currently implementation of HT kernels is using a define variable configured in common.h as MAX_SUPPORTED_TOKENS_PER_RANK
HT mode performance HT mode is currently being tuned for performance and may demonstrate sub-optimal results in this release

References

License

See LICENSE.txt for license information.