Sponsored Post The rapid burst of artificial intelligence is driving business opportunities across verticals – but there's one sector for which AI presents major challenges, and that's the data center industry itself.
The Evolution of the Data Center Industry: AI, Hyperscale and Beyond
The data-intensive IT resources required by AI workloads place unprecedented demands on the physical infrastructure and switching structures of data center facilities. It's that AI training models will grow in complexity by 1,000 times over the next three years—each model has billions of dense parameters and can be run for weeks on end.
The pressure of growing AI workloads reveals that many data center infrastructures are not up to the job. And without rapid retooling, many data centers may have to limit the AI work they can take on.
Shifting innovation is critical to rebuilding data centers with accelerated infrastructure for the AI era. Typically, their interconnected servers are linked to the global digital network through a structure of high-bandwidth switches. This enables data center operators to build highly scalable networks while mixing and matching vendor products to create network architectures specific to their needs.