Deep Learning Model Deployment: Production with ONNX, TensorRT and FastAPI From Training to Production: Deploying Deep Learning Models at Scale Figure 10. The end-to-end model deployment pipeline Moving deep learning models from experimentation to production presents unique challenges in performance, scalability, and maintainability. In this comprehensive guide, we'll explore model optimization with ONNX and TensorRT, building scalable APIs with FastAPI, and deploying to edge devices with TensorFlow Lite. 1. The Deployment Challenge Production requirements differ significantly from research environments: Requirement Research Focus Production Needs Latency Batch processing Real-time inference ...
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