The INFN Cloud services are based on modular components and span the IaaS, PaaS and SaaS models for both computing and data. ​

  • All services are described by TOSCA templates (which can refer internally to other components such as Ansible playbooks, HELM charts, etc.).​
  • The services can be deployed via the INFN Cloud Dashboard or via a command line interface:​
    • Automatically by the INFN Cloud Orchestrator on one of the federated Cloud infrastructures, depending on resource availability and policies.​
    • Manually by a user on a specific federated Cloud infrastructure.

Service Catalogue

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Image Compute Services

A list of services that enable a specific cloud technology

Image Analytics

A collection of ad-hoc solutions for analytic purpose

Image Machine Learning

List of ready-to-use Machine Learning services

Image Data Services

Data management and storage services

Virtual Machine
Launch a compute node getting the IP and SSH credentials to access via ssh


Run a docker compose file fetched from the specified URL


Apache Mesos cluster
Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual)


RStudio is an integrated development environment (IDE) for R.


Jupyter with persistence for Notebooks
Run Jupyter on a single VM enabling Notebooks persistence


Working Station for Machine Learning INFN (ML_INFN)
Run a single VM with all the ML-INFN environment exposing both ssh access and Jupyter

Sync&Share aaS
The INFN Cloud Sync & Share as a Service is based on the popular ownCloud storage solution.