Bring AI to the epicenter of data creation at the edge
IDC’s analysts understand that a cloud-to-edge AI strategy can reduce latency by distributing key workloads to edge and on-premises servers where data can be most effectively collected, analyzed, and used instantaneously to deliver real-time results. Download IDC’s infobrief to learn how moving key AI use cases to the edge can optimize GPU utilization, improve data security and a reduce the cost and power associated with transporting data to the cloud.