Creating a Fast Rust Web API for ML Model Predictions (New Tutorial)

Just published a new guide on Djamware.com!
In this tutorial, we build a high-performance ML inference API in Rust, using:

🦀 Actix Web for the server

📦 tract-onnx for loading ONNX models

🧮 Typed tensors & predictions

🐳 Docker deployment

⚡ Performance tuning & benchmarking

If you want a lightning-fast alternative to Python inference servers, this walkthrough has you covered.

👉 Read the full tutorial:
https://www.djamware.com/post/6924111e97df564e1627f251/creating-a-fast-rust-web-api-for-ml-model-predictions