Architecture decision
Start from a measurable pilot. Promote a model only after quality and load tests, keeping rollback artifacts available.
GLOBALATLAS AI · AI startups
AI startups
Separate experiments from customer-facing inference so model changes do not disrupt the application.
Separate experiments from customer traffic
- 01
Experiment project: datasets and training runs
- 02
Application project: API and inference
- 03
Shared versioned artifacts and spending limits
Configuration requirements
GPU for the model, CPU for the API, object storage for datasets and backups for state. Start with a small measured workload.