Intel, Cisco Collaboration Delivers Industry’s First Systems Approach for AI Workloads at the Edge

Intel and Cisco Introduce Industry’s First Systems Approach for AI Edge Workloads

Cisco Unified Edge powered by Intel Xeon 6 system-on-chip (SoC) offers an advanced AI infrastructure designed to enhance performance and security while minimizing network traffic by performing real-time inferencing directly at the data source.

The edge computing domain is rapidly expanding due to rising demand for AI workloads that operate autonomously and physically across sectors like retail, manufacturing, and healthcare. Modern enterprises need adaptable infrastructure capable of scaling and managing data close to its origin.

Collaborative Innovation for Distributed AI

Cisco and Intel have unveiled a pioneering integrated platform tailored for distributed AI workloads. Utilizing Intel® Xeon® 6 SoC technology, this solution consolidates computing, networking, storage, and security functions at the edge, enabling real-time AI inferencing and execution of 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 of the Solution

This collaboration marks a significant milestone in enabling real-time AI insights by bringing advanced computing capabilities directly to where data is generated.

Author’s Summary

The Intel-Cisco partnership delivers a groundbreaking, integrated platform that enhances AI computing at the edge, optimizing performance, security, and scalability for next-generation workloads.

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Intel Newsroom Intel Newsroom — 2025-11-06