Customer stories · Enterprise software
Enterprise data scientist
A 100-trial sweep done before standup
A sweep that took two days serially now finishes in ~2 hours for ~$60, fanned out across 8× A100, with the best model up +12 points.
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.
Workload understanding
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.
Outcome
+12 accuracy pts on best model (93% vs 81%)
Output quality
~2 days → ~2 hours
Time-to-result
~$59.70
Cost per run
“The full sweep lands before standup now. We stopped rationing trials.”
Run your workload in your own cloud.
Representative composite story. Placement, hardware matching, and completion are real system behavior; figures are transparent, editable model inputs.