RRepoGEO

REPOGEO REPORT · LITE

yandex/YaFSDP

Default branch main · commit 7e128205 · scanned 6/6/2026, 1:57:39 PM

GitHub: 989 stars · 47 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yandex/YaFSDP, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics for LLM distributed training

    Why:

    COPY-PASTE FIX
    distributed-training, large-language-models, llm-training, pytorch, fsdp, data-parallelism, deep-learning, transformer-models, gpu-acceleration
  • highreadme#2
    Add a concise, benefit-oriented tagline to the README's opening

    Why:

    COPY-PASTE FIX
    YaFSDP is a high-performance Sharded Data Parallelism framework specifically engineered by Yandex to accelerate large language model (LLM) training on multi-GPU setups, offering significant speedups and memory efficiency over standard FSDP.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    A URL pointing to the official project page, documentation, or a key introductory blog post (e.g., the Medium or Habr posts mentioned in the README).

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface yandex/YaFSDP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepSpeed
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepSpeed · recommended 2×
  2. PyTorch FSDP · recommended 2×
  3. Megatron-LM · recommended 2×
  4. Colossal-AI · recommended 2×
  5. FairScale · recommended 2×
  • CATEGORY QUERY
    How to efficiently train large language models across multiple GPUs with reduced memory overhead?
    you: not recommended
    AI recommended (in order):
    1. DeepSpeed
    2. PyTorch FSDP
    3. Megatron-LM
    4. Accelerate
    5. Colossal-AI
    6. FairScale

    AI recommended 6 alternatives but never named yandex/YaFSDP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best sharded data parallelism frameworks for accelerating transformer model training?
    you: not recommended
    AI recommended (in order):
    1. DeepSpeed
    2. FairScale
    3. PyTorch FSDP
    4. Megatron-LM
    5. Colossal-AI

    AI recommended 5 alternatives but never named yandex/YaFSDP. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of yandex/YaFSDP?
    pass
    AI named yandex/YaFSDP explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts yandex/YaFSDP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yandex/YaFSDP explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo yandex/YaFSDP solve, and who is the primary audience?
    pass
    AI named yandex/YaFSDP explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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yandex/YaFSDP — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite