Deploy Deep Learning Models with FastAPI & Celery (Step-by-Step, No Docker!)

Description

In this video, I’ll show you how to deploy a Deep Learning model as an API using FastAPI, Celery, and Redis — all running locally without Docker! We’ll go step by step to build a GPU-aware, asynchronous inference system with PyTorch — perfect for image classification or any deep learning project. 🧩 Chapters: 00:00 - Introduction 02:03 - Required Libraries (Setting up Environment) 04:17 - Installing Redis 05:20 - Logger 06:27 - GPU Manager 10:37 - Model Handler 14:20 - Celery Worker 17:47 - FastAPI 22:05 - Testing Code 29:00 - Executing and Debugging 39:04 - Conclusion 💻 GitHub Repository: https://github.com/nikhilroxtomar/InferX Don’t forget to ⭐ Star the repo if you found it helpful! 🔥 What You’ll Learn: - What FastAPI, Celery & Redis actually do - How to handle concurrent inference requests - How to use Celery for background model execution - How to manage GPU VRAM safely with pynvml - How to log and monitor your model performance - How to simulate real users with a concurrency test By the end, you’ll have your own working inference API that can handle multiple requests, monitor GPU usage, and run predictions asynchronously — just like in production 💻 Tech Stack Used: - FastAPI – for serving the API - Celery – for background processing - Redis – as a message broker - PyTorch – to load the pretrained ResNet50 model - pynvml – to manage GPU memory - logging – for real-time debugging and tracking 🎯 Key Features: - Asynchronous inference handling - GPU memory management - Real-time logging system - Parallel task execution - Scalable and extensible architecture 💬 Perfect For: - Deep Learning Engineers 🧑‍💻 - ML Developers who want to deploy models - Students learning a real-world model serving - Anyone struggling with slow or blocked model APIs ✨ Support the Channel & My Work - 💖 Join as a Member: https://www.youtube.com/channel/UClkqp31PHke-f8b8mjiiY-Q/join - ☕ Buy Me a Coffee: https://www.buymeacoffee.com/nikhilroxtomar 🌐 Follow Me - BLOG: https://idiotdeveloper.com - TELEGRAM: https://t.me/idiotdeveloper - FACEBOOK: https://facebook.com/idiotdeveloper - TWITTER: https://twitter.com/nikhilroxtomar - INSTAGRAM: https://instagram.com/nikhilroxtomar - PATREON: https://patreon.com/idiotdeveloper