Cold Data, High Power Costs: Smarter Archiving in the AI Era - Seguridad Mania.com - España y América Latina

As the amount of data your organisation stores grows, it creates what many call data gravity - the natural tendency for large datasets to slow down systems and increase costs. Big, long-term datasets require more power, more cooling, more storage capacity, and make it harder and more expensive to move data between systems. What was once easy to keep on disks or NVMe drives becomes difficult and expensive at large scale. Today, the key question is not just where to store cold or inactive data, but how to build a long-term storage strategy that recognises data gravity and uses it to your advantage. In this session, we will look at how organisations are rethinking long term archiving and building storage strategies that can: • Reduce up to 75% of the power and cooling used by archive systems • Lower dependence on HDDs and NVMe for long-term retention • Improve reliability by using tiered storage that includes tape • Create workflows that deliver the right mix of performance, durability, cost savings, and sustainability If your archive is growing, if power consumption is becoming a concern, or if your infrastructure feels weighed down by data, this session will give you a clear and practical framework for taking back control.