RRepoGEO

REPOGEO REPORT · LITE

Tencent/hpc-ops

Default branch main · commit 0da60f4b · scanned 6/11/2026, 4:53:15 PM

GitHub: 911 stars · 90 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Tencent/hpc-ops, 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
  • highreadme#1
    Add a clear tagline to the README's introductory section

    Why:

    CURRENT
    <p>
    
    
    
    
  </p>
    COPY-PASTE FIX
    <p align="center"> An optimized operator library specifically for Large Language Model (LLM) inference, not general HPC cluster management. </p>
  • hightopics#2
    Add specific topics to accurately categorize the repository

    Why:

    COPY-PASTE FIX
    llm-inference, gpu-optimization, deep-learning-operators, nvidia-cuda, ai-acceleration, large-language-models, high-performance-computing
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a link to the official project page, documentation, or a relevant Tencent AI blog post in the repository's 'About' section.

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 Tencent/hpc-ops
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVINO
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVINO · recommended 2×
  2. NVIDIA TensorRT-LLM · recommended 1×
  3. vLLM · recommended 1×
  4. Triton Inference Server · recommended 1×
  5. DeepSpeed-MII · recommended 1×
  • CATEGORY QUERY
    How to achieve high-performance LLM inference on NVIDIA GPUs for production workloads?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT-LLM
    2. vLLM
    3. Triton Inference Server
    4. DeepSpeed-MII
    5. OpenVINO
    6. Hugging Face TGI

    AI recommended 6 alternatives but never named Tencent/hpc-ops. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking optimized operator library for large language model serving latency and throughput.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA FasterTransformer
    2. DeepSpeed
    3. FlashAttention
    4. OpenVINO
    5. ONNX Runtime
    6. TensorRT

    AI recommended 6 alternatives but never named Tencent/hpc-ops. 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 Tencent/hpc-ops?
    pass
    AI did not name Tencent/hpc-ops — likely talking about a different project

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

  • If a team adopts Tencent/hpc-ops in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent/hpc-ops 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 Tencent/hpc-ops solve, and who is the primary audience?
    pass
    AI named Tencent/hpc-ops explicitly

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

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Tencent/hpc-ops — 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