Open Source
piqc
Free, read-only GPU waste scanner for Kubernetes inference clusters, by Paralleliq. Finds idle GPUs, oversized GPU tiers and wasted capacity in vLLM deployments.
Our verdict
We have not reviewed piqc yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About piqc
piqc is a free, read-only GPU waste scanner for Kubernetes inference clusters. It finds idle GPUs, oversized GPU tiers, and wasted capacity in vLLM deployments. The tool is written in Python and published as an open-source community project by Paralleliq.
Best for
Teams running vLLM on Kubernetes who want a free, safe way to spot GPU waste
Use cases
- Detect idle GPUs in Kubernetes inference clusters
- Identify oversized GPU tier allocations
- Audit vLLM deployments for wasted capacity
Notes
32 stars on GitHub. Last updated 2026-10-04. Licensed Apache-2.0.
Pros
- Read-only, so it poses no risk to running workloads
- Free and open source
- Focused specifically on GPU waste in vLLM deployments
Cons
- Limited to Kubernetes and vLLM environments
- Read-only, so it does not automatically reclaim wasted GPUs
- Small community with 32 stars, indicating early-stage adoption
Key facts
What we have checked
- Days since the last commit
- 5
- GitHub forks
- 2
- GitHub stars
- 32
- Days to a first reply on issues
- 109.4
- Open issues
- 11
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How piqc is growing
32 to 32
Health and security
Is piqc looked after, and what do its setup files show
Health score
38 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 5 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | 0 of 20 | First reply in 109.4 days (median) |
| Maintainer | 0 of 15 | Owned by a single user |
| Official source | Not counted | MCP servers only |
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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