EGI Document 3747-v2
VO OLA DEEP Training Facilities
- Permalink:
- https://documents.egi.eu/document/3747
- Document #:
- EGI-doc-3747-v2
- Document type:
- Other
- Submitted by:
- Giuseppe La Rocca
- Updated by:
- Giuseppe La Rocca
- Document Created:
- 20 May 2021, 18:12
- Contents Revised:
- 15 Nov 2022, 14:09
- Metadata Revised:
- 15 Nov 2022, 14:09
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| EGI-doc-3747-v1
17 Dec 2021, 14:36 |
| EGI-doc-3747-v0
20 May 2021, 18:12 |
- Abstract:
- The DEEP Training Facility is a distributed training facility for Machine Learning, Artificial Intelligence and Deep Learning models.
The DEEP Training Facility provides tools for building training, testing and training Machine Learning, Artificial Intelligence and Deep Learning models over distributed e-Infrastructures.
Models can be built from scratch or form existing and pre-trained models (transfer learning or model reuse). Ready to use models are available for transfer learning or 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.
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