消费电子:DEEPSEEK-R1降本增效 看好ASIC赛道及应用端弹性释放

天风证券股份有...
09 Feb

1、近期Deepseek-R1以其较低训练成本和较强性能引起全球广泛关注,主要源于其V3基模多项降本提效的创新及R1模型增加的第二阶段强化学习训练对推理能力的大幅提升。预训练模型V3:关键创新表现于1)使用多头潜在注意力(MLA)机制,将每次查询所需的 KV 缓存减少了约 93.3%,降低每次查询所需的硬件量,从而大幅降低了推理成本。2) 利用 Multi-Token Prediction (...

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