The challenge
Run serially on one box, a 100-trial hyperparameter sweep took ~two days, so the team ran fewer trials and shipped a worse model.
Understanding the workload
One profiled ~300 GB aggregate with high parallelism → burst, fanned out.
Best hardware for the job
Matched 8× NVIDIA A100 80GB. If a deadline demands it, One can match 8× H100 to cut wall-clock to ~51 min, matching to your priority, cost or speed.
Benchmark
| Pick | Hardware | Time | Cost | Verdict |
|---|---|---|---|---|
| One's match | 8× A100 80GB | ~122 min | $59.70 | best perf-per-dollar that fits |
| oversized | 8× H100 80GB | ~51 min | $66.76 | latency option for a hard deadline |
Completion
The whole sweep finished in one wall-clock window in the team's own cloud, then tore down.
What changed
+12 accuracy pts on best model (93% vs 81%)
Output quality
~2 days → ~2 hours
Time-to-result
~$59.70
Cost per run
The feeling we build for
The full sweep lands before standup now. We stopped rationing trials.
Placement, hardware matching and completion are real system behavior; the figures are editable model inputs.