# DeepSeek开源DeepEP：首个MoE专家并行通信库

- 来源：DeepSeek (@deepseek_ai)
- 发布时间：2025-02-25 10:24
- AIHOT 链接：https://aihot.virxact.com/items/cmo77611u003eslher02bm15r
- 原文链接：https://x.com/deepseek_ai/status/1894211757604049133

## AI 摘要

DeepSeek开源周第二日推出DeepEP，这是首个面向MoE模型训练与推理的开源EP通信库。该库针对专家并行场景优化，支持NVLink和RDMA的all-to-all通信，既提供高吞吐kernel用于训练与推理预填充，也提供低延迟kernel用于解码阶段。同时原生支持FP8精度，并允许灵活的GPU资源控制以实现计算与通信重叠，显著提升MoE模型效率。

## 正文

🚀 Day 2 of #OpenSourceWeek： DeepEP

Excited to introduce DeepEP - the first open-source EP communication library for MoE model training and inference.

✅ Efficient and optimized all-to-all communication
✅ Both intranode and internode support with NVLink and RDMA
✅ High-throughput kernels for training and inference prefilling
✅ Low-latency kernels for inference decoding
✅ Native FP8 dispatch support
✅ Flexible GPU resource control for computation-communication overlapping

🔗 GitHub： https://github.com/deepseek-ai/DeepEP