Artificial intelligence is now central to IT strategy, yet many organizations assume that meaningful progress requires new infrastructure. The assumption comes from the demands of AI workloads. They require substantial CPU and GPU power, high-throughput storage, and fast data movement.…
There are practical use cases for on-premises AI versus using AI in the public cloud, particularly in situations that require enhanced security, data control, and regulatory compliance. By examining these specific examples, IT professionals can gain a deeper understanding of…
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