 | https://github.com/deepseek-ai/DeepGEMM/pull/304 Mega MoE is still under development and optimizations, stay tuned and optimization ideas are welcome! Disclaimer: this release is only related to DeepGEMM's development, has nothing to do with internal model release. P4 + Mega MoE + Distributed Communication + Blackwell Adaptation + HyperConnection training support"this combination points to the following: - DeepSeek is training/preparing to deploy an MoE model larger than V3.
The word "Mega" likely indicates that DeepSeek V4 is a very large model. [link] [comments] |
DeepSeek Updated their repo DeepGEMM testing Mega MoE
Reddit r/LocalLLaMA / 4/16/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsModels & Research
Key Points
- DeepSeek has updated the DeepGEMM repository with additional testing and development support for “Mega MoE,” while clarifying it is only related to DeepGEMM’s development rather than an internal model release.
- The referenced combination of P4, Mega MoE, distributed communication, Blackwell adaptation, and HyperConnection training suggests preparation for deploying a much larger MoE model than their V3-era scale.
- The article notes that FP4 quantization would likely be required for efficient inference at this projected size, indicating substantial compute/memory pressure being addressed.
- Hardware-level optimizations are described as specifically implemented for NVIDIA Blackwell, implying tighter coupling between model routing (MoE) and next-generation GPU efficiency work.
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