GPU Sizing Calculator.
Most teams overprovision by 2–3×. Get a GPU type, node count, and scaling strategy recommendation based on your model and traffic pattern — before you commit.
Estimates assume an optimized serving framework (vLLM-equivalent) and standard transformer architecture. Throughput is scaled from empirical baselines and will vary by serving stack.
Want a sizing recommendation for your exact cluster?
We'll follow up with a specific recommendation based on your model and traffic.
Already deployed? See actual vs. predicted.
Paralleliq Scanner (piqc) scans your running Kubernetes cluster in seconds and shows you exactly where your GPU sizing is off — misplacement, over-provisioning, dark capacity.
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See how utilization rate drives cost per token — and what recovering waste saves.
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GPU Waste Calculator
Estimate how much your inference fleet could recover through rightsizing.
GPU Inference TCO Calculator
Compare total cost of ownership across cloud providers.
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Inference Capacity Planner
Plan GPU capacity based on your model, traffic, and latency targets.
GPU Fleet Cost Optimizer
Find the lowest-cost configuration for your throughput requirements.
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See how KV cache memory scales with context length and batch size.
CPU:GPU Ratio Calculator
Find the gap as AI shifts from batch inference to multi-agent orchestration.