Generative AI models have rapidly advanced, leading to a demand for larger computing capabilities. As traditional data center expansion presents logistical challenges, industry experts suggest that the future lies in connecting existing data centers together to function as a cohesive, large-scale supercomputer. This distribution model builds on already established practices in high-performance computing but introduces unique challenges. Technologies like high-speed interconnects are essential for this transition, enabling the collaboration of numerous data centers to meet the growing requirements of AI processing.
Distributing large workloads across multiple machines is nothing new in the high-performance computing space.
If it's no longer practical to build bigger datacenters, start stitching together the ones you already have.
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