AI teams waste up to 50% of GPU spend. See yours in 30 seconds.
Estimate how much your inference fleet could recover through rightsizing — misplacement, over-provisioning, and OOM risk.
Recoverable GPU Spend
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per year
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of GPU budget recoverable
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equivalent nodes freed
Want the full ROI picture — ops costs, payback period, and 3-year comparison? Try the TCO Calculator →
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Paralleliq Scanner (piqc) scans your Kubernetes cluster in seconds. No agents, no instrumentation, nothing changes in your cluster. Questions? info@paralleliq.ai
Recoverable GPU Spend
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Waste factors based on industry benchmarks for GPU underutilization patterns (model misplacement, idle replicas, scheduling gaps). Actual waste varies by cluster — run a free scan for cluster-specific data.
per year across your fleet
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Tier Misplacement
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OOM Risk Overhead
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Over-Provisioning
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KV Cache Headroom
Want the full ROI picture — ops costs, payback period, and 3-year comparison? Try the TCO Calculator →
Stay in the loop. Enter your email and we'll keep you updated on GPU optimization tips and new Paralleliq features.
✓ Got it — we'll be in touch.
Something went wrong — email us at info@paralleliq.ai
Paralleliq Scanner (piqc) scans your Kubernetes cluster in seconds. No agents, no instrumentation, nothing changes in your cluster. Questions? info@paralleliq.ai
