GPU Serving Calculator
Estimate hidden waste in open-source model serving.
For teams running internal or open-source models, cost is not only tokens. It is idle GPUs, poor batching, cold starts, OOM loops and over-provisioned replicas.
Serving footprint
Scale idle replicas down
Route small tasks to smaller models
Detect OOM loops and cold starts
GPU savings estimate
Current monthly serving cost
After ML Mind optimization
Monthly savings
Utilization
Turn this insight into a savings audit
Use your simulator result as the starting point for a free ML Mind AI FinOps audit.
Turn this page into action
ML Mind is designed to move from content to evidence: simulate your workload, generate a savings report, then request a structured AI FinOps audit.
1. SimulateEstimate waste across tokens, RAG, retries and GPU.
2. ValidateMap the estimate to your real telemetry.
3. ControlDeploy the safest control layer first.