Optimizing AI/ML Operations At The Edge
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Optimizing AI/ML Operations at the Edge

AI/ML functions are moving to the edge to save power and reduce latency. This enables local processing without the overhead of transmitting large volumes of data over power hungry and slow communication links to servers in the cloud. Of course, the cloud offers high performance and capacity for processing the workloads. Yet, … Read More

The post Optimizing AI/ML Operations at the Edge appeared first on SemiWiki.

AI/ML functions are moving to the edge to save power and reduce latency. This enables local processing without the overhead of transmitting large volumes of data over power hungry and slow communication links to servers in the cloud. Of course, the cloud offers high performance and capacity for processing the workloads. Yet, … Read More

The post Optimizing AI/ML Operations at the Edge appeared first on SemiWiki.

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