Result description
Dive into the future of aquatic sciences with the iMagine Framework and Computing Platform. Seamlessly integrate AI into your research endeavours, leveraging the power of cutting-edge technologies and the EGI Federation’s distributed computing. Experience agile AI model development and deployment, propelling your projects forward and fostering innovation. Join a collaborative ecosystem of experts, unlock limitless scalability, and embark on a journey of transformative discoveries. The iMagine Framework awaits, ushering in a new era of possibilities.
The iMagine-AI Framework and Computing Platform facilitate transparent AI model training, sharing, serving, and publication. Harnessing the expansive capabilities of the EGI Federation, this platform capitalises on its hyper-scale distributed computing prowess, effectively eliminating bottlenecks in computational resources. The iMagine AI framework is instrumental in both model development and the delivery of AI services. For model development, it provides an agile environment for prototyping AI models, offering JupyterLab instances, extensive data science, AI, deep learning frameworks, and GPU-powered model training. In the realm of AI service delivery, the iMagine framework adopts a serverless approach, enabling scalable, high-performance deployment of AI models. The served models seamlessly leverage the iMagine API, integrating with external image repositories and facilitating event-based data processing. Through all this, users can rapidly iterate AI models, optimise them, and efficiently serve them to scientific end users.
Addressing target audiences and expressing needs
- To raise awareness and possibly influence policy
- Grants and Subsidies
- Collaboration
We aim to develop further and sustain our technological infrastructure, and for this, we are seeking funding. We also want to expand to more use cases.
- Public or private funding institutions
- EU and Member State Policy-makers
- Research and Technology Organisations
R&D, Technology and Innovation aspects
The platform is available and serving users.
The system can scale horizontally as long as we can bring more resources to serve additional users.
The system can scale horizontally as long as we can bring more resources to serve additional users.
The system can scale horizontally as long as we can bring more resources to serve additional users.
Result submitted to Horizon Results Platform by AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
