Deliverables

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D6.1 – State-of-the-art DEEP Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries

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This document provides an overview of the state-of-the-art in Deep Learning (DL), Neural Network (NN) and Machine Learning (ML) frameworks and libraries to be used as building blocks in the DEEP Open

D4.2 – First implementation of software platform for accessing accelerators and HPC

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This deliverable describes the first implementation of the software platform for accessing accelerators and HPC. The list of components included in the software platform is based on the analysis

D5.2 – High Level Hybrid Cloud solutions prototype

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This document complements deliverable D5.1 Definition of the Architecture of the Hybrid Cloud (D5.1) with the specific prototype developments carried out to support the deployment of

D6.3 – First prototype of the DEEP as a Service

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This document provides an updated description of the prototype implementation of the DEEP as a Service solution that is being developed within the DEEP-Hybrid-DataCloud project Work Package 6 (WP6).

D3.2 – Pilot testbed and integration architecgture with EOSC large scale infrastructures

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The deliverable contains the plan, design, architecture and deployment of the Pilot Preview testbed based on technical requirements and descriptions from the WP2 use cases. The services

D6.2 – Design for the DEEP as a Service solution

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This document provides a description of the design, architecture and work plan the DEEPHybridDataCloud Work Package 6 (WP6) in order to provide the DEEP as a Service solution. As such it provides an

D5.1 – Definition of the Architecture of the Hybrid Cloud

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This document describes the design of the PaaS Layer and the detailed work plan for the WP5 of the DEEP-HybridDataCloud project, which aims at adopting and extending the PaaS orchestration solution

D4.1 – Assessment of available technologies for supporting accelerators and HPC, initial design and implementation plan

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This document describes the state of the art of technologies for supporting bare-metal, accelerators and HPC in cloud and proposes an initial implementation plan. Available technologies will be

D2.1 – Initial Plan for Use Cases

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This report summarises the work of WP2 on the initial plan on the selection of Use Cases, providing a key input to the design of the DEEP-HybridDataCloud testbed and laying out the

D1.11 – Data Management considerations and initial plan

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This report summarises the work of WP1 on the Data Management considerations and initial plan for the DEEP-HybridDataCloud project. This document describes the types of data that will be generated or

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.

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