RRepoGEO

REPOGEO REPORT · LITE

NVIDIA/gdrcopy

Default branch master · commit fcec3ce0 · scanned 6/23/2026, 2:42:26 PM

GitHub: 1,391 stars · 189 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 NVIDIA/gdrcopy, 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
    Strengthen the README's opening to highlight gdrcopy's unique advantage over standard GPU memory operations

    Why:

    CURRENT
    A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology.
    COPY-PASTE FIX
    NVIDIA/gdrcopy is a specialized **library** for ultra-low-latency CPU-driven GPU memory copies, leveraging NVIDIA GPUDirect RDMA technology. It offers significantly reduced overhead compared to standard CUDA memory operations, making it ideal for high-performance computing applications requiring direct and efficient host-to-device data transfers.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., to official documentation or project page) to the 'Homepage' field in the repository settings.
  • lowtopics#3
    Expand repository topics with more specific use-case and benefit-oriented keywords

    Why:

    CURRENT
    gpu-memory, gpudirect-rdma, kernel-mode-driver, libraries, linux, nvidia
    COPY-PASTE FIX
    gpu-memory, gpudirect-rdma, kernel-mode-driver, libraries, linux, nvidia, high-performance-computing, hpc, low-latency, data-transfer

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 NVIDIA/gdrcopy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA GPUDirect RDMA
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA GPUDirect RDMA · recommended 1×
  2. Mellanox OFED · recommended 1×
  3. NVIDIA GPUDirect Storage · recommended 1×
  4. CUDA Unified Memory (UVM) · recommended 1×
  5. cudaMallocManaged · recommended 1×
  • CATEGORY QUERY
    How to achieve ultra-low latency CPU to GPU memory transfers for high-performance applications?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA GPUDirect RDMA
    2. Mellanox OFED
    3. NVIDIA GPUDirect Storage

    AI recommended 3 alternatives but never named NVIDIA/gdrcopy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are alternatives to standard GPU memory copy for minimizing overhead and latency?
    you: not recommended
    AI recommended (in order):
    1. CUDA Unified Memory (UVM)
    2. cudaMallocManaged
    3. cudaMemcpyAsync
    4. cudaStreamSynchronize
    5. cudaEventRecord
    6. cudaEventSynchronize
    7. GPUDirect RDMA
    8. InfiniBand NICs
    9. cudaHostAlloc
    10. cuMemHostAlloc
    11. cudaMemcpyPeerAsync
    12. cuMemcpyDtoD
    13. cudaDeviceCanAccessPeer
    14. cudaDeviceEnablePeerAccess
    15. NVLink
    16. NVSwitch
    17. cudaMemcpy2D
    18. cudaMemcpy3D

    AI recommended 18 alternatives but never named NVIDIA/gdrcopy. 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 NVIDIA/gdrcopy?
    pass
    AI named NVIDIA/gdrcopy explicitly

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

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

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

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MARKDOWN (README)
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NVIDIA/gdrcopy — 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