Konferenzprogramm 2022

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PUE, Cooling Resilience, & Deployment Economics Optimized with Machine Learning

11 May 2022
Critical Infrastructure Theatre
PUE, Cooling Resilience, & Deployment Economics Optimized with Machine Learning

Data center designers and owners are faced with opposing objectives when attempting to meet resilience specifications while at the same time meeting new economic and PUE benchmarks for project deployment.  All the while, the list of design options and supporting technologies continue to grow.

This session takes a look at traditional water-based cooling infrastructure, and what is possible with modular automation and integrated machine learning.  How far can the needle be moved on PUE, and at what incremental cost.

Language

EN

Sponsors

PLATINUM SPONSOR

  • Huawei

 

GOLD SPONSOR

  • Mitsubishi
  • Vertiv
  • Riello

 

REGISTRATION SPONSOR

  • Riello

 

SILVER SPONSOR


  • DTM Group
  • Sunbird Software, Inc
  • Jaeggi-Hybrid
  • Piller
  • Paessler AG

 

Partners

PARTNER

  • German Datacentre Association

PARTNER

  • Sustainable Digital Infrastructure Alliance e.V

PARTNER

  • Dutch Data Centre Association

PARTNER

  • Virz

PARTNER

  • Enterprise Ireland

PARTNER

  • Uptime Institute

PARTNER

  • it-daily.net

TRAVEL PARTNER

  • Lufthansa
  • Deutsche Bahn