AI functions are facing a pressing need for decentralization due to excessive power consumption, inadequate cooling solutions in data centers, and the critical requirement for low latency, especially in real-time applications.
The current infrastructure of many data centers is incompatible with the demands of AI workloads, both in terms of power availability and the ability to cool increased processing capabilities.
Transmitting data across long distances introduces latency that can be detrimental for applications requiring immediate responses, such as autonomous vehicles, making edge AI a crucial evolution.
Considerations for shifting AI to the edge include the necessity to enhance processing capabilities while ensuring sufficient power and cooling are available to support these operations.
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