Deploying AI Models at the Edge

EU invests in edge and cloud computing with a 1.2 billion euro infusion

EU invests in edge and cloud computing with a 1.2 billion euro infusion

The European Commission has approved up to €1.2 billion (roughly $1.3 billion) in aid for a cloud and edge computing project.

The Important Project of Common European Interest (IPCEI) Next Generation Cloud Infrastructure and Services was jointly submitted by seven EU member states, namely France, Germanly, Hungary, Italy, the Netherlands, Poland and Spain. It is expected to receive €1.2 billion (around $1.3 billion) in public funding and additional private investments of roughly €1.4 billion (around $1.5 billion).

Under the umbrella of the IPCEI, nineteen companies will embark on nineteen projects. The projects aim to push the boundaries of cloud and edge computing.

One of the first results expected is an open-source reference infrastructure, which is projected to materialize by the end of 2027.

Last June, the European Union-funded Ampere Project debuted a software framework that leverages high-performance computing (HPC) parallel programming models.

This solution streamlines the development and deployment of complex cyber-physical systems (CPS) in the automotive and railway sectors, potentially reducing software development and deployment costs by up to 30%.

The Ampere Project addresses managing complex software architecture by integrating functional and non-functional requirements. It considers energy, time, security and resilience and achieves real-time operations. An important aspect is its ability to bridge the gap between domain-specific modeling languages (DSML) for rail (Capella) and automotive (Amalthea) domains, allowing for parallel execution.

Ampere leaders also note the project’s runtime parallel frameworks offer a flexible and modular approach, which allows  users to select components that align with specific requirements.

Eduardo Quiñones, the coordinator of Ampere and group leader of the Predictable Parallel Computing Group at the Barcelona Supercomputing Center, says Ampere represents a significant advancement in cyber-physical computing. He adds that it allows for faster and more resource-efficient development and deployment of systems in domains such as rail and automotive.

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