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[docs] Update README with final CUDA serving benchmark numbers #10

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peterajhgraham merged 1 commit into from
May 19, 2026
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[docs] Update README with final CUDA serving benchmark numbers #10

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15 changes: 7 additions & 8 deletions README.md
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Expand Up @@ -59,18 +59,17 @@ Run with `make bench-kernels` on an NVIDIA A10 (24GB) host.

Max weight error: 0.003. 34/35 linear layers quantized. Full report: [`benchmarks/quantization/results.md`](benchmarks/quantization/results.md).

### Serving latency (MPS, in-process, concurrency=16)
### Serving latency (NVIDIA A10 (24GB), in-process, concurrency=8)

| Metric | Value |
|---|---|
| Throughput | **157.3 req/s** |
| p50 | 70.2 ms |
| p99 | 358.5 ms |
| Failures | 0 / 200 |
| Throughput | **255 req/s** |
| p50 | 27 ms |
| p95 | 28 ms |
| p99 | 261 ms |
| Failures | 0 / 500 |

p99 < 30ms SLO is achievable on NVIDIA A10 (24GB) — measured inference time is **~5 ms per batch** from worker warmup. Full report: [`benchmarks/serving/results.md`](benchmarks/serving/results.md).

Benchmarked on NVIDIA A10 (24GB) in Lambda Cloud. Results are hardware-comparable to A100 runs at equivalent step counts; the A10 is a standard production inference GPU.
> **Note on p99:** The 261 ms p99 reflects a first-batch initialization spike (CUDA kernel JIT compile + worker warmup on the initial request). Steady-state p99 is **~28 ms**, well within the 30 ms SLO. Full report: [`benchmarks/serving/results.md`](benchmarks/serving/results.md).

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