Lesson 14: The Benchmark Capstone — Putting It All Together
Time to connect everything. In this lesson we build a real NVIDIA-style benchmark: sweep batch sizes and precision, measure correctly (warmup + synchronize), and report throughput and p99 for each config — then pick the config that meets the latency budget and serve it with Triton. This is exactly t
A benchmark is like testing a car in every gear before declaring 'it's fast': you measure each setting under the same conditions, record the numbers, and pick the gear that fits your road.
- Benchmark sweep
- Systematically measuring performance across several configs (batch, precision) under the same conditions, to pick the best.
- Latency budget
- The maximum latency a request may take (e.g. p99 < 50ms). You pick the largest batch that still meets it.
- Triton Inference Server
- NVIDIA's inference server that runs models from many frameworks with dynamic batching, concurrency, and built-in metrics.
