NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

1. 1Understand the Mixture-of-Experts (MoE) architecture and its communication requirements
2. 2Evaluate existing libraries such as DeepEP and Hybrid-EP for MoE dispatch and combine operations
3. 3Implement NCCL EP for improved GPU-initiated RDMA performance
4. 4Integrate NCCL EP with large language models for enhanced scalability

AI engineers and researchers working on large language models can benefit from NCCL EP, as it provides a unified and efficient communication API for Mixture-of-Experts architectures, improving overall system performance

💡 NCCL EP provides a ground-up MoE communication library for improved performance and scalability

🚀 NCCL EP: A unified expert parallel communication API for NCCL, boosting performance for large language models!