The HPC4AI (High-Performance Computing for Artificial Intelligence) datacenter at the University of Turin’s Computer Science Department was established to meet the rapidly growing computational demands of interdisciplinary AI research. HPC4AI innovates by redefining the traditional roles of Cloud and High-Performance Computing (HPC) systems, where the Cloud provides a modern interface for HPC, and HPC acts as an accelerator for Cloud applications. To date, it has supported over 40 research projects spanning diverse fields such as astronomy, medicine, and human sciences. Additionally, HPC4AI serves as a research and development platform for exploring, developing, and testing novel datacenter technologies. It features a variety of experimental computing platforms and the first prototype of a two-phase evaporative server cooling system. This work outlines the operational management of HPC4AI, highlighting challenges, lessons learned, and key opportunities related to digital twins for datacenters.

Digital Twin for Datacenter: HPC4AI UniTO Case Study

Vaccaro, Viviana;Birke, Robert;Meschini, Silvia;Tagliabue, Lavinia Chiara;Rabellino, Sergio;Aldinucci, Marco
2025-01-01

Abstract

The HPC4AI (High-Performance Computing for Artificial Intelligence) datacenter at the University of Turin’s Computer Science Department was established to meet the rapidly growing computational demands of interdisciplinary AI research. HPC4AI innovates by redefining the traditional roles of Cloud and High-Performance Computing (HPC) systems, where the Cloud provides a modern interface for HPC, and HPC acts as an accelerator for Cloud applications. To date, it has supported over 40 research projects spanning diverse fields such as astronomy, medicine, and human sciences. Additionally, HPC4AI serves as a research and development platform for exploring, developing, and testing novel datacenter technologies. It features a variety of experimental computing platforms and the first prototype of a two-phase evaporative server cooling system. This work outlines the operational management of HPC4AI, highlighting challenges, lessons learned, and key opportunities related to digital twins for datacenters.
2025
1st International Conference on Building Digital Twin and Smart Cities, BDTSC 2025
Kaunas, Lithuania
2025
Lecture Notes in Civil Engineering
Springer Science and Business Media Deutschland GmbH
775 LNCE
99
110
9783032090393
9783032090409
Artificial Intelligence; Datacenter; Digital Twin; Energy modeling; High Performance Computing (HPC); HPC4AI
Vaccaro, Viviana; Birke, Robert; Meschini, Silvia; Tagliabue, Lavinia Chiara; Rabellino, Sergio; Legazpi, Pablo Vicente; Aldinucci, Marco
File in questo prodotto:
File Dimensione Formato  
9783032090409.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 1.86 MB
Formato Adobe PDF
1.86 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2109735
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact