RRepoGEO

REPOGEO REPORT · LITE

4paradigm/k8s-vgpu-scheduler

Default branch master · commit da7d4ed4 · scanned 6/14/2026, 7:42:22 AM

GitHub: 593 stars · 101 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 4paradigm/k8s-vgpu-scheduler, 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

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

OVERALL DIRECTION
  • highreadme#1
    Clarify project status and link to the active repository in README

    Why:

    CURRENT
    > **Note** This project has beed renamed to project-HAMi, We reserve old repo here for compatable reasons
    COPY-PASTE FIX
    ## IMPORTANT: This project has been renamed to [project-HAMi](https://github.com/project-hami/hami) and is reserved here for compatibility reasons. Please refer to the new repository for active development and the latest features.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/project-hami/hami

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 4paradigm/k8s-vgpu-scheduler
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA GPU Operator
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA GPU Operator · recommended 1×
  2. Multi-Instance GPU (MIG) · recommended 1×
  3. KubeVirt · recommended 1×
  4. PCIe Passthrough · recommended 1×
  5. NVIDIA vGPU · recommended 1×
  • CATEGORY QUERY
    How to share GPU resources and virtualize memory for AI workloads in Kubernetes?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA GPU Operator
    2. Multi-Instance GPU (MIG)
    3. KubeVirt
    4. PCIe Passthrough
    5. NVIDIA vGPU
    6. NVIDIA AI Enterprise
    7. Aliyun GPU Sharing
    8. Tencent Cloud GPU Sharing
    9. AMD ROCm
    10. Kubernetes Device Plugins
    11. Intel oneAPI

    AI recommended 11 alternatives but never named 4paradigm/k8s-vgpu-scheduler. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage GPU memory allocation and sharing within Kubernetes clusters?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA GPU Operator (NVIDIA/gpu-operator)
    2. Kubernetes Device Plugins (NVIDIA Device Plugin) (NVIDIA/k8s-device-plugin)
    3. NVIDIA Multi-Instance GPU (MIG)
    4. NVIDIA MPS (Multi-Process Service)
    5. KubeShare (kubeshare/kubeshare)
    6. Volcano (volcano-sh/volcano)

    AI recommended 6 alternatives but never named 4paradigm/k8s-vgpu-scheduler. 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 4paradigm/k8s-vgpu-scheduler?
    pass
    AI named 4paradigm/k8s-vgpu-scheduler explicitly

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

  • If a team adopts 4paradigm/k8s-vgpu-scheduler in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 4paradigm/k8s-vgpu-scheduler 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 4paradigm/k8s-vgpu-scheduler solve, and who is the primary audience?
    pass
    AI named 4paradigm/k8s-vgpu-scheduler explicitly

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

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4paradigm/k8s-vgpu-scheduler — 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