We are looking for scientific projects, research communities, research infrastructures and individual researchers. The EOSC Compute Platform can facilitate various compute and data-intensive use cases. Examples include large-scale data processing and scientific analysis, data mining and visualisation, artificial intelligence/machine learning applications (AI/ML), hosting data analysis environments and applications in the cloud, federating community-specific compute services, and offering Open Science services in the cloud.

We are also looking for e-infrastructure providers who are interested in joining the computing community.  

Currently, the number of providers integrated with the EOSC Compute platform,

• HTC: 220
• Cloud: 25
• GPU: 5 

Providing the following resources,

• 5,606,625 CPU hours
• 16,524 GPU hours
• 2081 TB/month storage.

To over 48K+ users

The primary focus in the coming months is to onboard HPC resources into the EOSC Compute platform. 

The Platform integrates capacities pre-paid by national governments and by the European Commission to provide IT services for science. Whenever possible we provide our users access to capacities in their national scope, minimizing dependency on cross-national usage. This lowers the overhead costs related to international usage which would be paid from the European Commission funds. The approach increases the scalability and sustainability of computing service delivery. There is a dedicated procurement action planned for sustaining the EOSC Compute Platform beyond the lifetime of the project. 

As the EOSC Compute Platform uses open-source components and detailed guidelines and documentation of the processes and procedures followed is available, it is possible to replicate the result.

There is a dedicated procurement action planned for sustaining the operation of the EOSC Compute Platform beyond the lifetime of the project. The procurement is expected to fund the central activities of the project (such as central Operation oversight, Resource Allocation, Training and Support teams), as well as offer some level of international service delivery. A major part of delivery will continue to rely on national funds, and the resource allocation process will continue to ‘bring users to national resources’ and enable the migration of applications and data to those resources as much as possible.