DeepSeek open source family bucket inventory: turning MoE inference engineering from "black box" to "textbook"
DeepSeek's 2025-2026 intensive open source inference and training infrastructure, FlashMLA, DeepEP, DeepGEMM, DeepSpec, 3FS, etc., covers the entire "algorithm-kernel-communication-storage" link, is open under the MIT protocol, and systematically exports efficient MoE inference engineering capabilities to global developers.
When most manufacturers regard model weights as their only open source output, DeepSeek chose another path: open source the entire set of reasoning and training infrastructure that drives their own models, component by component. This list covers the entire "algorithm-kernel-communication-storage" link. The specifications are so complete that there is almost no benchmark among Chinese AI manufacturers.
Division of labor among the six major components
| Components | Positioning | Protocols | Stars (approx.) |
|---|
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