GPU Calculators for AI teams.
Thirteen free tools to help you size, cost, and optimize your GPU infrastructure — before and after deployment.
$/Token vs. GPU Utilization Calculator
See how your utilization rate directly determines your cost per token — and what recovering waste is worth to your inference margins.
GPU Procurement Deferral Calculator
Estimate how many months fleet optimization delays your next hardware order — and what the CapEx and OpEx savings are worth.
GPU Capacity Risk Calculator
Find your hardware ordering deadline. At your traffic growth rate, see when you need to order — and the revenue at risk if you're already late.
vLLM Configuration Calculator & Optimizer
Get a recommended max_num_seqs, KV cache allocation, and speculative decoding decision — and see whether your vLLM deployment will meet your p95 latency target under real traffic.
GPU Waste Calculator
AI teams waste up to 50% of GPU spend. Estimate how much your inference fleet could recover through rightsizing in 30 seconds.
CPU:GPU Ratio Calculator
Is your cluster balanced for your workload? As AI shifts from batch inference to multi-agent orchestration, the GPU:CPU ratio keeps falling. Find your gap.
Paralleliq ROI Calculator
Estimate the annual value Paralleliq delivers to your GPU fleet — waste recovered, engineering hours freed, and 3-year ROI. Based on your fleet size and current spend.
GPU Sizing Calculator
Get a GPU type, node count, and scaling strategy recommendation based on your model size, quantization, and traffic pattern — before you deploy.
Inference Capacity Planner
Plan GPU capacity for inference at scale. Input your model, traffic, and latency targets and get a fleet size recommendation.
GPU Inference TCO Calculator
Compare total cost of ownership across cloud providers for your GPU inference workload — H100, A100, L4, and more.
Build vs. Buy: GPU Optimization Layer
Should you build a GPU fleet optimization layer internally or use Paralleliq? Model engineering time, maintenance cost, and 3-year total cost side by side.
GPU Fleet Cost Optimizer
Model a mixed GPU fleet across providers and workload types to find the lowest-cost configuration for your throughput requirements.
KV Cache & Context Window Cost
See how KV cache memory scales with context length, batch size, and model architecture — and what it costs at production scale.
Want a real number from your actual cluster?
These calculators give you estimates based on inputs you provide. piqc scans your running Kubernetes cluster in seconds and shows you the actual waste, misplacement, and dark capacity — no agents, no instrumentation.