The DEEP-HybridDataCloud project offers a development framework for all users, including non-experts, enabling the transparent training, sharing and serving of Artificial Intelligence, Machine Learning and Deep Learning models both locally or on hybrid cloud systems in the context of the European Open Science Cloud. The DEEP solution is based on Docker containers packaging already all the...
EOSC-SYNERGY Thematic services aim to increase the acceptance of EOSC by building capacities and introducing improved platform and infrastructure services. EOSC-SYNERGY has identified ten thematic services addressing four scientific areas (Earth Observation, Environment, Life Sciences and Astrophysics). Those thematic services are heterogeneous, address a wider range of requirements and have...
In the last 5 years the RECAS-BARI datacenter has been offering to its users an increasing amount of compute and storage resources through the local batch system and the on-premise Openstack-based cloud infrastructure. Our users come from different scientific communities (HEP, bioinformatics, medical physics, etc.) and some local SMEs: they need to execute their workloads with different...
