NVIDIA Triton Inference Server Quick Start with Docker Model Repository Structure Model Configuration HTTP Client Triton Python Client (tritonclient) Python Backend (Custom Logic) Model Ensemble Key Concepts - Model repository : Directory structure defines available models and versions - Dynamic batching : Automatically combines requests into batches for GPU efficiency - Multi-framework : Serve ONNX, TensorRT, PyTorch, TensorFlow, and Python models together - Ensembles : Chain models into pipelines (preprocess → infer → postprocess) - Model versioning : Deploy multiple versions simultaneously…