The MULTI-X platform simplifies the logistical challenges of deploying AI and ML solutions by providing pre-configured environments with ad-hoc scalable computing resources to quickly build, test, share and reproduce scientific applications. Its comprehensible modular framework accelerates the development and reduces the burden and cost of implementing AI solutions. The talk will include details of two exemplary deployments in the area of Cardiac Image Analysis, presented together with the outcome of the analysis of 5000 subjects of the UK-Biobank database. Developing and deploying AI solutions for clinical research use cases can be complex, resource intensive, and therefore expensive and challenging to implement for many researchers, groups and healthcare organisations. In the era of Big-Data and the IoT, the most critical problems are related to the secure access and management of large heterogeneous datasets, the deployment of GPU-accelerated massive parallel processing systems, and the setup of development environments encompassing complex ML tools and applications. Two exemplary use cases of the implementation of GPU-enabled AI solutions in the area of Cardiac Image Analysis, both developed and deployed in MULTI-X, will be presented together with the outcome of the analysis of 5000 Subjects of the UK-Biobank database.