Apache SINGA is an open-source distributed deep learning platform designed for developers and researchers working with machine learning models, especially in domains like healthcare and science. SINGA offers features such as distributed training across GPUs, database integration for querying models in RDBMS, a model zoo with domain-specific models, automatic differentiation, memory and parameter optimization, ONNX interoperability, and detailed time profiling. It provides an easy-to-use Python interface and is suitable for scalable AI workloads.
Visit Apache SINGA's official website for product details and getting started.
Comprehensive guides and API references for using Apache SINGA.