AI runs on data and vast amounts of data. The quality and volume of the data determines the precision and usefulness of AI’s output. It is necessary to manage such immense data flows. It requires more than storage. It requires infrastructure that is secure, resilient and capable of processing the data at fast speed. This is where the data centers step in. They are not merely real estate full of servers. They are the nerve centres of AI’s growth. They provide the backbone for AI needs — housing, computing power, connectivity, security systems.
AI and data centers have symbiotic relationship. Both help each other. Modern co-location facilities are not designed for rack densities exceeding 100 kw. The architecture should be suitable for model training, inferencing and large-scale data processing.
The convergence of AI, 5G and IoT is moving complete power closer to the user. Edge data centres at smaller cities are responsible for delivering ultra-low-latency services for sectors like gaming, telemedicine and smart cities. High speed, low latency and connectivity are not negotiable for AI workloads.
Data centers self-optimize, and adapt to changing workloads.
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