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 techniques: artificial intelligence (machine learning 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.