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.
SERVICE DESCRIPTION
The Service 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.
SPECIAL ACCESS CONDITIONS
Access via Deep AAI, which allows access via federated identities including social media accounts.
PREREQUISITES
No Prerequisites
CASE EXAMPLES
DEEP training facility is a service to develop and train artificial intelligence, machine learning and deep learning applications, providing transparent access to e-infrastructures, supporting access to GPU accelerators.
SUCCESS STORY
SERVICE CAN BE COMBINED WITH
EGI services: Cloud Compute, Big Data Storage, DataHub.
