DEEP-Hybrid-DataCloud

DEEP Hybrid DataCloud project aims to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

Under the common label of DEEP as Service, the project will provide a set of building blocks that enable the easy development of applications requiring cutting-edge tecniques: artificial intelligence (machine learnig and deep learning), parallel post-processing of very large data, and analysis of massive online data streams. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework.

Open Catalog

Ready to use models that run on your laptop, on a production server or on top of a e-Infrastructure.

Pilot use cases

We have a variety of use cases with demanding needs that drive our development.

Training

DEEP-Hybrid-DataCloud is producing a set of training materials, from user documentation to tutorials.

Support

Sometimes things do not work as expected, check this information to get support.

Last news & events

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Unless otherwise indicated, all materials created by the DEEP-Hybrid-DataCloud consortium are licensed under a Creative Commons Attribution 4.0 International License.

Licencia de Creative Commons

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