Models78°

DeepSeek 发布 V4.1-Flash 技术报告

Why we picked it

DeepSeek 新发布的 V4.1-Flash 技术报告,优化了预填充计算、HBM 缓存、SSD/主机持久化缓存和缓存失效恢复,还用了近似的 SWA Bounded Replay 替代长期保存局部缓存状态。

DeepSeek 的 V4.1-Flash 技术报告联合优化了预填充计算、HBM 缓存、SSD/主机持久化缓存和缓存失效恢复。

Image · shao__meng
Body

最值得关注的设计是以近似的 SWA Bounded Replay 替代长期保存局部缓存状态。

Original · shao__meng

DeepSeek-V4.1-Flash 技术报告 将预填充计算、HBM 缓存、SSD/主机持久化缓存和缓存失效恢复联合优化。 最值得关注的设计是以近似的 SWA Bounded Replay,替代长期保存局部缓存状态。 x.com/i/article/2100…📊 2 ⚡

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include DeepSeek, V4.1-Flash, cache optimization, HBM.

Source attribution: curated from shao__meng (@shao__meng).