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DeepSeek V3.2 Architecture Deep Dive: MLA, MoE and FP8 Training
Shota TanakaAI Research Analyst2026-04-2415 min
DeepSeekMoEFP8 TrainingMLALLM Architecture
This article is published in Japanese. Summary in English below:
DeepSeek V3.2 Architecture Deep Dive: MLA, MoE and FP8 Training—Deep dive into DeepSeek V3.2: 671B-param MoE with 37B active, MLA attention, auxiliary-loss-free load balancing, and FP8 native training — explained from the paper and public implementation.
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