This IDC Market Perspective analyzes the shift in computing and storage across the system landscape driven by AI and the evolving edge. This ongoing evolution expands the choices of computing architectures and storage media used in each system as features and optimizations are mapped closer to workloads and further out to IoT endpoints. Computing architectures and the mix of storage used will focus on balancing performance, power efficiency, and cost."As frameworks and libraries become more established for AI and machine learning, training will be reused broadly, and inferencing will move closer to the endpoints where the data is being created to determine outcomes in real time for users and enterprises," said Mario Morales, program VP for IDC. "The competitive landscape and innovation are thriving, as large and small start-up companies race to establish their architectures at the edge and endpoints where AI inferencing is about to take off."
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