Cisco has announced Cisco Unified Edge, an integrated computing platform designed to run distributed artificial intelligence (AI) workloads at the edge. The platform integrates compute, networking, storage, and security in a single modular system aimed at enabling real-time AI inferencing and agentic workloads where data is generated—including at the data center edge, branch sites, manufacturing facilities, and retail venues.
According to Cisco, Unified Edge brings data center power and scale to edge locations to support both traditional and AI-driven workloads. The platform features a full-stack, converged architecture with CPU and GPU configurations, redundant power and cooling, high-performance software-defined wide area network (SD-WAN) connectivity, and pre-validated designs. Modular chassis allow for serviceability and adaptation as workload requirements evolve.
For data center and edge operators, operational management is centralized through Cisco Intersight, enabling fleetwide zero-touch deployment, automated troubleshooting, and simplified upgrades. Integrations with Splunk and ThousandEyes provide end-to-end observability. Cisco claims that its edge management capabilities aim to democratize at-scale control of distributed compute environments.
Security on the Unified Edge is implemented through multi-layered, zero-trust models, with hardware-level tamper-proofing, deep telemetry, consistent policy enforcement, and audit trails for compliance. The system is designed to support both CPU-run real-time edge applications and GPU-intensive AI workloads, providing flexibility as customer requirements change.
Cisco partnered with customers from sectors including data centers, manufacturing, financial services, and healthcare to co-design deployment, security, and management features. Unified Edge platforms are orderable now and are expected to be generally available by the end of 2024.
Company representatives and partners provided technical perspectives. For example, Blake Moret, chairman and CEO of Rockwell Automation, stated, “Edge computing requires an integrated platform approach where the compute, the networking, and of course, the security all come together. Performant, secure networking at the edge is absolutely essential.” Christina Rodriguez, Vice President and General Manager of Intel’s Network and Edge Group, said, “The Intel Xeon 6 SoC provides a flexible, efficient foundation that edge systems need for high throughput, low latency workloads, while Cisco’s modular compute design and unified operations model makes managing AI workloads easier and more secure.”
Source: Cisco
