ncnn is a high-performance neural network inference framework optimized for mobile, embedded, and desktop deployment. It provides no-third-party-runtime deployment with CPU and Vulkan GPU backends. The project includes pnnx for converting PyTorch and ONNX models to the ncnn format, enabling efficient deep learning model deployment across phones, PCs, browsers, and edge devices.