The EUPEX consortium aims to design, build, and validate the first EU platform for HPC, covering end-to-end the spectrum of required technologies with European assets: from the architecture, processor, system software, development tools to the applications. The EUPEX prototype will be designed to be open, scalable and flexible, including the modular OpenSequana-compliant platform and the corresponding HPC software ecosystem for the Modular Supercomputing Architecture. Scientifically, EUPEX is a vehicle to prepare HPC, AI, and Big Data processing communities for upcoming European Exascale systems and technologies. The hardware platform is sized to be large enough for relevant application preparation and scalability forecast, and a proof of concept for a modular architecture relying on European technologies in general and on European Processor Technology (EPI) in particular. In this context, a strong emphasis is put on the system software stack and the applications. Being the first of its kind, EUPEX sets the ambitious challenge of gathering, distilling and integrating European technologies that the scientific and industrial partners use to build a production-grade prototype. EUPEX will lay the foundations for Europe's future digital sovereignty. It has the potential for the creation of a sustainable European scientific and industrial HPC ecosystem and should stimulate science and technology more than any national strategy (for numerical simulation, machine learning and AI, Big Data processing). The EUPEX consortium – constituted of key actors on the European HPC scene – has the capacity and the will to provide a fundamental contribution to the consolidation of European supercomputing ecosystem. EUPEX aims to directly support an emerging and vibrant European entrepreneurial ecosystem in AI and Big Data processing that will leverage HPC as a main enabling technology.

EVOLVE is a pan European Innovation Action with 19 key partners from 11 European countries introducing important elements of High-Performance Computing (HPC) and Cloud in Big Data platforms taking advantage of recent technological advancements to enable cost-effective applications in 7 different pilots to keep up with the unprecedented data growth we are experiencing . EVOLVE aims to build a large-scale testbed by integrating technology from: • The HPC world: An advanced computing platform with HPC features and systems software. • The Big Data world: A versatile big-data processing stack for end-to-end workflows. • The Cloud world: Ease of deployment, access, and use in a shared manner, while addressing data protection. EVOLVE aims to take concrete and decisive steps in bringing together the Big Data, HPC, and Cloud worlds, and to increase the ability to extract value from massive and demanding datasets. EVOLVE aims to bring the following benefits for processing large and demanding datasets: • Performance: Reduced turn-around time for domain-experts, industry (large and SMEs), and end-users. • Experts: Increased productivity when designing new products and services, by processing large datasets. • Businesses: Reduced capital and operational costs for acquiring and maintaining computing infrastructure. • Society: Accelerated innovation via faster design and deployment of innovative services that unleash creativity. EVOLVE intends to build and demonstrate the proposed testbed with real-life, massive datasets from demanding applications areas. To realize this vision, EVOLVE brings together technology and pilot partners from EU industry with demonstrated experience, established markets, and vested interest. Furthermore EVOLVE will conduct a set of 10-15 Proof-of-Concepts with stakeholders from the Big Data value chain to build up digital ecosystems to achieve a broader market penetration.

PHYSICS empowers European CSPs exploit the most modern, scalable and cost-effective cloud model (FaaS), operated across multiple service and hardware types, provider locations, edge, and multi-cloud resources. To this end, it applies a unified continuum approach, including functional and operational management across sites and service stacks, performance through the relativity of space (location of execution) and time (of execution), enhanced by semantics of application components and services. PHYSICS applies this scope via a vertical solution consisting of a: -Cloud Design Environment, enabling design of visual workflows of applications, exploiting provided generalized Cloud design patterns functionalities with existing application components, easily integrated and used with FaaS platforms, including incorporation of application-level control logic and adaptation to the FaaS model. -Optimized Platform Level FaaS Service, enabling CSPs to acquire a cross-site FaaS platform middleware including multi-constraint deployment optimization, runtime orchestration and reconfiguration capabilities, optimizing FaaS application placement and execution as well as state handling within functions, while cooperating with provider-local policies -Backend Optimization Toolkit, enabling CSPs to enhance their baseline resources performance, tackling issues such as cold-start problems, multitenant interference and data locality through automated and multi-purpose techniques. PHYSICS will produce an Artefacts Marketplace (RAMP), in which internal and external entities (developers, researchers etc) will be able to contribute fine-grained reusable artifacts (functions, flows, controllers etc). PHYSICS will contribute to open source tools and initiatives/policies (Gaia-X, Green Deal, EOSC, Eur. Strategy for Data), while validating the outcomes in 3 real-world applications (eHealth, Agriculture and Manufacturing), making a business, societal and environmental impact on EU citizen life