What it is
AI deployment takes a trained model and exposes it through an endpoint, job, or edge device so it can handle live traffic.
What to watch
- Latency and throughput under load
- Scaling up and down as usage changes
- Security for model access and data in transit
Good practices
- Version models and configs
- Add health checks, logs, and metrics
- Keep a rollback plan if a new model underperforms