AI is powered by data centers and as it continues its growth and reshapes virtually every industry as we know it, data centers will grow with it. Data centers will grow to be more than just large warehouses with racks of servers running computations.
Future data centers will be able to shift load demands by incorporating a heterogeneous computing environment. Current data centers are designed for general purpose computing traditionally for a single task-type. Future data centers may be able to dynamically reallocate computer, memory, and storage resources based on workload requirements.
And while these data centers will require large amounts of power, for which innovation will be required, as described in a previous post, cooling advancements will be equally important. AI hardware may begin to consume 10x current power consumption values. Advancements in cooling may be a two-pronged approach including improved cooling methods while also optimizing power consumption based on workloads, seasonality, and user behavior. It is foreseeable that a competitive metric for a data center may be based on performance per watt.
As these facilities evolve, they will become the engines of industry. Companies that learn to innovate within these domains will define industries. At McCoy Russell, we are here to support IP portfolio development with regard to AI and any other field to prepare for an evolving business landscape.
