MegaMoE MegaKernel Architecture: Optimizing DeepSeek-V4 LLM Performance

Sat, 16 May 2026 14:04:09 +0800

MegaMoE MegaKernel Architecture: Optimizing DeepSeek-V4 LLM Performance

The MegaMoE architecture in DeepSeek-V4 addresses critical bottlenecks in large-scale Mixture-of-Experts (MoE) LLMs. Traditional expert parallelism suffers from high-latency inter-node communication via NVLink or RDMA, leaving GPU streaming multiprocessors (SMs) idle during matrix computation. MegaMoE introduces a unified MegaKernel that combines advanced warp specialization and symmetric memory pipelining to overlap computation and communication, achieving up to 1.96x end-to-end performance improvement.

MegaKernel on KAD

MegaMoE MegaKernel Architecture: Optimizing DeepSeek-V4 LLM Performance