Apache SINGA is an open-source distributed deep learning library designed for training large-scale deep learning and machine learning models. Targeted at developers, researchers, and organizations needing scalable model training, it offers features like easy installation, distributed training on multiple GPUs or nodes, ONNX model interoperability, database integration, time profiling, and a model zoo with pre-built domain-specific models. Its Python interface and memory/parameter optimization tools make it accessible and efficient for advanced AI workflows.
Visit Apache SINGA's official website for product details and getting started.