GPU Inference Throughput Calculator
Get a first-order throughput estimate from observed concurrent load and average response latency. The tool shows the method and key assumptions so you can inspect how the input values lead to the estimate.
How to use this calculator
- Enter concurrent in-flight requests using the unit and definition shown beside the input.
- Enter average end-to-end request latency (ms) using the unit and definition shown beside the input.
- Enter average output tokens per request using the unit and definition shown beside the input.
- Check that all values refer to the same time period and scenario.
- Review the outputs alongside the assumptions before using them in a decision.
Formula and assumptions
Requests per second≈concurrency/latency seconds; output tokens per second≈requests per second×tokens per request.
- This steady-state estimate does not model prompt tokenization, prefill/decode phases, batching, queue wait, GPU memory, model size or tail latency. Use benchmark data for capacity planning.
- The estimate is calculated from values you enter. It does not connect to external accounts, obtain live prices, or validate local regulations or engineering specifications.
Worked examples
Worked example
24 concurrent requests at 800 ms average latency imply about 30 requests/s before other bottlenecks are considered.
Enter observed concurrency, latency and average output token count.
Treat it as a rough planning estimate, not a benchmark guarantee.
Understanding the result
This steady-state estimate does not model prompt tokenization, prefill/decode phases, batching, queue wait, GPU memory, model size or tail latency. Use benchmark data for capacity planning.
Change one input at a time to see how sensitive the output is to that assumption.
Important notes
This steady-state estimate does not model prompt tokenization, prefill/decode phases, batching, queue wait, GPU memory, model size or tail latency. Use benchmark data for capacity planning.
Frequently asked questions
What formula does the GPU Inference Throughput Calculator use?
Requests per second≈concurrency/latency seconds; output tokens per second≈requests per second×tokens per request.
What should I verify before relying on the result?
This steady-state estimate does not model prompt tokenization, prefill/decode phases, batching, queue wait, GPU memory, model size or tail latency. Use benchmark data for capacity planning.
Can I compare different scenarios?
Yes. Change one assumption at a time, keep units and definitions consistent, and save the inputs used for each comparison.
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This page provides a calculation tool plus explanatory information so you can understand what the result means and when the underlying method may not fit your situation.