*Proceeding Paper* **Development of a Server for the Implementation of Data Processing Pipelines and ANN Training †**

**Brais Galdo \*, Daniel Rivero and Enrique Fernandez-Blanco**

Faculty of Computer Science, CITIC, University of A Coruna, 15071 A Coruna, Spain; daniel.rivero@udc.es (D.R.); enrique.fernandez@udc.es (E.F.-B.)

**\*** Correspondence: brais.cgaldo@udc.es

† Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.

**Abstract:** Data processing and the use of machine learning techniques make it possible to solve a wide variety of problems. The great disadvantage of using this type of technology is the enormous amount of computation involved. This is why we have tried to develop an architecture that makes the best possible use of the resources available on each machine. The growth of cloud computing and the rise of virtualization techniques have led to a development that allows these tasks to be carried out in a more optimized way.

**Keywords:** machine learning; Artificial Neural Networks; deep learning; data processing; web server; virtualization; docker
