See your GPU waste in one command — free, no signup.
piqc is our free, open-source scanner — not the platform. Point it at a cluster and get an instant cost report in your terminal: a glimpse of what Paralleliq sees continuously, not a trial of the product itself.
Run it
Kubernetes Job, pip/pipx, or Docker — pick whichever fits your workflow. Read-only; it makes no changes to your cluster.
Read the report
A cost table per deployment, plus a summary: unallocated nodes, tier misplacement, idle spend — right in your terminal, no dashboard needed.
See what's next
This is a one-time snapshot. The platform adds continuous monitoring, dollar-tracked recommendations, and approval-gated fixes across your whole fleet.
Install piqc — three ways
Runs inside your cluster as a one-off Job, using its own scoped RBAC role. Self-deletes after 10 minutes.
kubectl apply -f deploy/rbac.yaml kubectl apply -f deploy/scan-job.yaml
Reads your existing kubeconfig. Use pipx if you have any pydantic v1 dependencies elsewhere — it avoids the conflict.
pipx install piqc piqc scan
No local Python needed — mount an exported static kubeconfig into the container.
docker run --rm -v ~/.kube/config:/root/.kube/config:ro ghcr.io/paralleliq/piqc scan
All three produce the same read-only scan and a cost report in your terminal — no signup, no account. Full options and flags are in the piqc README.
What's included
- Free and open source, forever
- No signup, no credit card
- Read-only — makes no changes
- One-time snapshot, not continuous monitoring