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Use cases
Use case3 minUpdated 2026-07-04

Data-heavy processing

Batch non-urgent work, validate cache rates, and compare open-model APIs before committing to dedicated GPUs.

Audience

Data teams

Metric

Batch and cache

Sources

2 official links

Best default

Use batch routes and open-model APIs first. Dedicated GPUs enter the plan only after throughput and utilization are measured.

  • Use batch/flex pricing for non-urgent backfills and large offline jobs.
  • Measure cache hit rate and output length before committing to one provider.
  • Size GPUs only after the workload keeps hardware busy.

Hidden cost

Storage, egress, retries, and oversized outputs can be larger than the advertised model price. Model the whole pipeline.