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deepseek-ai/FlashMLA

FlashMLA: Efficient Multi-head Latent Attention Kernels

Visit GitHub
C++
13.3k
1.2k
16 contributors
MIT License
AchievementsView all →
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Momentum

How fast deepseek-ai/FlashMLA is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 16 – Nov 15, 2026

Stars +350 in 61 days

0204060
53

Forks +111 in 61 days

051015
14

Merged PRs 3 in 61 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Top 25 in C++

825
Sep 16Sep 24Oct 2Oct 10Oct 18Oct 26Nov 3Nov 11
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRsC++
Wed, Sep 16, 2026+8+00Not trending
Thu, Sep 17, 2026+7+10Not trending
Fri, Sep 18, 2026+5+00Not trending
Sat, Sep 19, 2026+0+10Not trending
Sun, Sep 20, 2026+7+10Not trending
Mon, Sep 21, 2026+2+00Not trending
Tue, Sep 22, 2026+0+10Not trending
Wed, Sep 23, 2026+0+20Not trending
Thu, Sep 24, 2026+1+10Not trending
Fri, Sep 25, 2026+0+00Not trending
Sat, Sep 26, 2026+0+00Not trending
Sun, Sep 27, 2026+2+10Not trending
Mon, Sep 28, 2026+4+10Not trending
Tue, Sep 29, 2026+1+10Not trending
Wed, Sep 30, 2026+53+71#8
Thu, Oct 1, 2026+11+20Not trending
Fri, Oct 2, 2026+2+30Not trending
Sat, Oct 3, 2026+4+00Not trending
Sun, Oct 4, 2026+6+20Not trending
Mon, Oct 5, 2026+2+30Not trending
Tue, Oct 6, 2026+4+00Not trending
Wed, Oct 7, 2026+1+00Not trending
Thu, Oct 8, 2026+12+00Not trending
Fri, Oct 9, 2026+2+00Not trending
Sat, Oct 10, 2026+7+10Not trending
Sun, Oct 11, 2026+0+10Not trending
Mon, Oct 12, 2026+3+20Not trending
Tue, Oct 13, 2026+6+20Not trending
Wed, Oct 14, 2026+2+20Not trending
Thu, Oct 15, 2026+4+21Not trending
Fri, Oct 16, 2026+6+30Not trending
Sat, Oct 17, 2026+0+00Not trending
Sun, Oct 18, 2026+3+00Not trending
Mon, Oct 19, 2026+7+10Not trending
Tue, Oct 20, 2026+33+70#25
Wed, Oct 21, 2026+21+140Not trending
Thu, Oct 22, 2026+11+70Not trending
Fri, Oct 23, 2026+11+40Not trending
Sat, Oct 24, 2026+10+10Not trending
Sun, Oct 25, 2026+6+20Not trending
Mon, Oct 26, 2026+9+40Not trending
Tue, Oct 27, 2026+10+31Not trending
Wed, Oct 28, 2026+10+30Not trending
Thu, Oct 29, 2026+4+30Not trending
Fri, Oct 30, 2026+5+20Not trending
Sat, Oct 31, 2026+1+10Not trending
Sun, Nov 1, 2026+6+20Not trending
Mon, Nov 2, 2026+9+10Not trending
Tue, Nov 3, 2026+7+20Not trending
Wed, Nov 4, 2026+5+20Not trending
Thu, Nov 5, 2026+0+10Not trending
Fri, Nov 6, 2026+0+00Not trending
Sat, Nov 7, 2026+4+00Not trending
Sun, Nov 8, 2026+1+40Not trending
Mon, Nov 9, 2026+1+10Not trending
Tue, Nov 10, 2026+4+10Not trending
Wed, Nov 11, 2026+0+10Not trending
Thu, Nov 12, 2026+2+00Not trending
Fri, Nov 13, 2026+3+10Not trending
Sat, Nov 14, 2026+5+30Not trending
Sun, Nov 15, 2026+0+00Not trending
Total+350+1113
  • 1#1 on the list
  • 7Rank that day
  • Not trending
1

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Jan 22 – Jan 23, 2026Best #5

    #1#5#10#15#20#25
    Top 10
    Sep 2025NovJan 2026MarMayJulSep
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about deepseek-ai/FlashMLA, and every badge it has earned
    1. Nov 21 post

      • DeepSeek just open-sourced a GitHub superagent that can work through issues + PRs with multiple agents in parallel. And the rest of its OSS stack is just as interesting: dsh-superagent-prototype —…

        Read full on X, posted by @opinion_bits

        @opinion_bits · x.com

    2. 25 days earlier
    3. Oct 81 post

      • FlashMLA: Efficient Multi-head Latent Attention Kernels (13k stars)

        Read full on Reddit

        r/BestGitHubRepos

    4. Oct 21 post

      • DeepSeek open sourced its Ascend stack. Six parts match its NVIDIA ones one for one: TileLang, DeepGEMM, DeepEP, TileKernels, FlashMLA, DeepSelect. On Ascend 950 the sparse attention prefill kernel…

        Read full on X, posted by @Qualiteg_global

        @Qualiteg_global · x.com

    5. Sep 302 posts3 posts

      • DeepSeek moment 2.0: the thing @JensenHuang warned about just happened. In the last few hours, @deepseek_ai shipped a set of AI infra repos with @Huawei Ascend 950 support. Not a new model. The layer…

        Read full on X, posted by @howard_

        @howard_ · x.com

      • 🚨DeepSeek又开源啦！ 刚刚，@DeepSeek 正式开源了一整套面向华为昇腾的基础设施组件。 简单说，就是把此前在 NVIDIA 平台上跑通的那套核心基础设施，开始系统性地搬到昇腾上： TileLang、DeepGEMM、DeepEP、TileKernels、FlashMLA、DeepSelect，基本一一对应。 这里面我最关注的其实是 TileLang。 它本质上是一个用来写高性能…

        Read full on X, posted by @MaxForAI

        @MaxForAI · x.com

      • 又一个deepseek时刻，short nvda+做多国产算力。不仅在华为卡从预训练到推理的全部过程，而且开源了整套算子，这是对cuda生态的一次实质性大利空，也是国产卡生态的大利好。deepseek的推特还没发布这个消息，等待发酵！ 附开源项目链接： TileLang: DeepGEMM Ascend: DeepEP Ascend: TileKernels: FlashMLA:…

        Read full on X, posted by @timotimo007

        @timotimo007 · x.com

    6. Sep 291 post

      • this was back in 2023 for their R1 model which is half the size of v4. like wdym 545% profit margin? and current v4 api prices are even lower than R1. god knows how much more they have optimized.

        Read full on X, posted by @sohamstwt

        @sohamstwt · x.com

    7. 2 months earlier
    8. Jul 181 post

      • Attention performance often comes down to the kernel, cache format, and GPU architecture—not another model-level abstraction. FlashMLA is DeepSeek’s library of optimized attention kernels for…

        Read full on X, posted by @DanKornas

        @DanKornas · x.com

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