Distributed training facility for Machine Learning, Artificial Intelligence and Deep Learning models. This service offers a set of tools to build and train Machine Learning, Artificial Intelligence and Deep Learning models in distributed e-Infrastructures. Ready to use models are available for transfer learning or reuse. The DEEP-Hybrid-DataCloud is providing machine learning and deep learning scientists with a set of tools that allow them to effectively exploit the existing compute and storage resources available through EU e-Infrastructures for the whole machine learning cycle. The DEEP training facility provides tools for building training, testing and evaluating Machine Learning, Artificial Intelligence and Deep Learning models over distributed e-Infrastructures leveraging GPU resources. Models can be built from scratch or form existing and pre-trained models (transfer learning or model reuse). Features: - Transparent training over distributed e-Infrastructures with GPU access. - Docker based for model portability and reusability. - Easy model integration with standards-based REST APIs. - CLI and web user interface to interact with the system. - OpenID Connect based identity.