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

Intel and Cisco Deliver Industry’s First Systems Approach for AI at the Edge

Cisco Unified Edge combined with Intel Xeon 6 SoCs introduces a future-ready AI infrastructure that enhances performance and security while minimizing network traffic by performing real-time inferencing directly at the data source.

The edge is rapidly emerging as a critical space for computing, driven by growing demand for agentic and physical AI workloads. Businesses need flexible infrastructures capable of scaling across various sectors such as retail, manufacturing, and healthcare, allowing data processing closer to where it is produced.

Innovative Integrated Platform for Distributed AI

Cisco and Intel have launched a pioneering integrated platform designed specifically for distributed AI workloads. Powered by the Intel® Xeon® 6 system-on-chip (SoC), this solution consolidates computing, networking, storage, and security near the edge to enable real-time AI inferencing and agentic processing.

“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 Collaboration

This collaboration represents a significant step toward meeting the evolving needs of AI applications by bringing critical computing resources closer to the data’s origin.

Author’s Summary

Intel and Cisco’s joint platform revolutionizes edge AI by integrating compute, networking, and security to support scalable, real-time intelligence across industries with greater efficiency and control.

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Intel Newsroom Intel Newsroom — 2025-11-06

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