AI is making data center flexibility and sustainability more important than ever
The amount of data generated by AI means the IT landscape is certain to look very different between today and 2030. The challenges data center operators face in future-proofing their data centers include:
- The right IT racks, cooling systems, and power distribution systems to efficiently facilitate increased data processing
- The physical footprint of building new data centers closer to the edge
- A sustainable model of energy usage to adequately power AI data centers without an outsized environmental footprint
Rittal’s new white paper on how AI is impacting data center efficiency addresses these challenges with actionable steps to build data centers that are ideal for AI computing.
