Cisco remakes the edge for AI’s data-heavy future
The modern edge computing platform has arrived. Before the explosion of artificial intelligence, edge computing sites were generally regarded as a back-end support function, smaller and more remote copies of a data center. However, as agentic AI has intensified infrastructure demands, the edge has emerged as an AI-ready compute system in its own right, with […] The post Cisco remakes the edge for…
Cisco Systems Inc. has revamped the edge computing landscape to better accommodate the data-heavy demands of artificial intelligence (AI). Traditionally viewed as a back-end support function, edge computing sites have evolved into AI-ready compute systems with optimized hardware, centralized visibility, remote deployment, and full-stack lifecycle management.
As AI workloads migrate towards the edge to process data closer to its source, Cisco has introduced its Unified Edge platform, a converged hardware solution that combines computing, networking, and storage in a modular system designed for real-time AI inferencing at the edge. With support for central processing units and graphics processing units, up to 120 terabytes of storage, redundant power and cooling, and integrated 25-gigabit networking, Cisco's Unified Edge aims to provide customers with a comprehensive core-to-edge framework for processing AI workloads.
The platform integrates Cisco's Intersight management platform, enabling organizations to centrally monitor and manage distributed infrastructure from the data center to the edge.
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