With an increased demand on data centers caused by the massive expansion of the Artificial Intelligence and Machine Learning (ML) and its associated power, cooling, and fiber connectivity requirements, many infrastructures need upgrading in order to keep up. Hyperscale operators and Fortune 500 organizations expect increased investments in AI/ML applications in order to improve their service offerings and improve business processes. The costs and resources involved in building a data center— as well as analyzing and processing that data—are immense. Additionally, designing a data center with enough power and cooling for servers running AI/ML workloads while also eliminating latency, reducing downtime, and maintaining compliance with ever-evolving standards is quite a challenge.
What can your business do to incorporate AI/ML applications as part of your IT strategy—all while keeping costs down? What could be an effective data center strategy for your business? For many organizations, the answer lies in the multitenant data center.