The rapid growth of artificial intelligence (AI) in today’s business market has contributed greatly to enhancing various products and building new services that are powered by data centers. With the rise in demand for machine learning, there is also a growing need for powerful, high performance compute, network, and storage. The addition of AI-driven applications in the data center requires even higher compute capabilities and high-density cooling racks design.

As the advancements in hardware and software offer more control over the cloud technology, IoT can be used to run AI networks and handle data-intensive processing. With AI managing various processes dynamically, the data centers can optimize different aspects of operations. Having AI embedded in the data center will resemble a DCIM system, completely optimized for security and redundancy. Machine learning has already been adopted within advanced data centers to improve the control of cooling systems and keep track of any deviations in operating points.

The performance of the data center will shoot up steeply while eliminating the need for any maintenance. In the near future, the integration of the data center with machine learning functions or AI can detect and identify faults in the system too complex even for a technician to service. As tremendous as it sounds, AI holds the ability to separate relevant data from the noise without compromising speed and continual data consumption.