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

Of all named tools, what % are you?

Top rival

NVIDIA GPUDirect RDMA

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

NVIDIA GPUDirect RDMA · recommended 1×
Mellanox OFED · recommended 1×
NVIDIA GPUDirect Storage · recommended 1×
CUDA Unified Memory (UVM) · recommended 1×
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?

Embed your GEO score

Drop this badge into the README of NVIDIA/gdrcopy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/NVIDIA/gdrcopy.svg)](https://repogeo.com/en/r/NVIDIA/gdrcopy)

HTML

<a href="https://repogeo.com/en/r/NVIDIA/gdrcopy"><img src="https://repogeo.com/badge/NVIDIA/gdrcopy.svg" alt="RepoGEO" /></a>

Pro

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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