Serving Deep Learning Models — Roadmap Step & Resources
Wrapping a model in an inference server (TorchServe, Triton, or a custom API)
- Level: advanced
- Estimated time: 2 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Mini projects
- Deploy a trained model behind a REST API and benchmark its inference latency
Study resources
- TorchServe Documentation (Article) — The official TorchServe documentation for serving PyTorch models in production.
- Serving PyTorch Models Explained (Video) — A practical walkthrough of wrapping a trained model in a serving API.
Part of
- Model Optimization & Deployment for Deep Learning — section
- Deep Learning & Neural Networks roadmap — the full learning path