Intel and Cisco Introduce Industry’s First Systems Approach for AI Edge Workloads
Cisco Unified Edge, equipped with Intel Xeon 6 system-on-chips (SoCs), offers a future-ready AI infrastructure that enhances performance and security while minimizing network traffic through real-time inferencing at the data source.
The edge is emerging rapidly as a critical domain for computing, driven by the growing demand for agentic and physical AI workloads. Enterprises across various industries such as retail, manufacturing, and healthcare require flexible infrastructures that can scale and process data closer to where it originates.
Integrated Platform for Distributed AI Workloads
Cisco and Intel have combined their expertise to launch a unique integrated platform powered by Intel® Xeon® 6 SoCs. This solution unifies compute, networking, storage, and security near the edge-generated data, enabling real-time AI inferencing and management of complex agentic workloads.
“A systems approach to AI infrastructure – one which integrates hardware, software and an open ecosystem – is essential to the future of compute, from the smallest edge device to the most complex data center,” said Sachin Katti, Chief Technology and AI Officer and General Manager of Intel’s Network and Edge Group.
“Together with Cisco, we’re redefining what’s possible: delivering a unified, secure, and scalable infrastructure that is purpose-built to handle the next decade of complex AI workloads generating real-time intelligence where it is needed most."
Key Benefits
- Improved AI performance and security at the edge
- Reduced network traffic through localized real-time inferencing
- Scalable infrastructure adaptable across multiple industry verticals
- Consolidation of compute, networking, storage, and security near data source
Author's Summary
This collaboration between Intel and Cisco delivers a groundbreaking, scalable AI edge infrastructure designed to empower real-time intelligence and manage increasing agency-driven AI workloads efficiently.