Paddle Lite is a deep learning inference framework developed by Baidu that targets mobile, embedded, and edge hardware platforms. It optimizes models through quantization, subgraph fusion, and kernel optimization to achieve high performance with minimal resource usage. The framework accepts PaddlePaddle model formats and provides conversion tools for models from other frameworks like Caffe, TensorFlow, and PyTorch. Deployment is managed through the opt optimization tool which analyzes model operators and hardware compatibility.