Published June 28, 2023 | Version v1
Conference paper Open

AI-Toolkit: a Microservices Architecture for Low-Code Decentralized Machine Intelligence

  • 1. University of Pisa
  • 2. Harokopio University of Athens
  • 3. Consiglio Nazionale delle Ricerche
  • 4. Information Technology for Market Leadership
  • 5. Austrian Institute of Technology


Artificial Intelligence and Machine Learning toolkits such as Scikit-learn, PyTorch and Tensorflow provide today a solid starting point for the rapid  prototyping of R\&D solutions. However, they can be hardly ported to heterogeneous decentralised hardware and real-world production environments. A common practice involves outsourcing deployment solutions to scalable cloud infrastructures such as Amazon SageMaker or Microsoft Azure. In this paper, we proposed an open-source microservices-based architecture for decentralised machine intelligence which aims at bringing R\&D and deployment functionalities closer following a low-code approach. Such an approach would guarantee flexible integration of cutting-edge functionalities while preserving complete control over the deployed solutions at negligible costs and maintenance efforts.



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TEACHING – A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence 871385
European Commission