Thomas Piacentini
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Project brief

Local Inference Capacity Planner

Original text · English

Help a team choose a concurrency limit for its own model endpoint. Replay an authored arrival schedule, record queue wait separately from service time, and compare observed percentiles and timeouts across bounded runs. Export a capacity curve and editable operating limit based on measured requests, not model-name lookup tables.

Proposed milestones

  1. Define an arrival schedule and resource limits
  2. Measure queue and service time independently
  3. Compare concurrency settings on the same workload
  4. Export a reproducible capacity decision

This is an upstream project brief; an implementation and completion tests are not supplied.

Code and artifacts 1
What you take away

Saved in your notebook on this device.

Sources and limits

Reading checkpoints are self-reported. Test results are recorded separately and apply to the executed cases.

AI Engineering from Scratch · 3f9715c · MIT

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