Cisco Unified Edge combined with Intel Xeon 6 SoCs creates an advanced AI platform designed to enhance performance and security while minimizing network traffic by performing real-time inferencing directly at the data source.
The edge is emerging as a critical computing domain, driven by growing demands for agentic and physical AI applications. Organizations across industries such as retail, manufacturing, and healthcare need flexible infrastructures that can scale and process data near its origin.
Intel and Cisco have launched a unique integrated platform targeting distributed AI workloads. Leveraging Intel® Xeon® 6 system-on-chip (SoC) technology, the solution integrates compute, networking, storage, and security to enable effective real-time AI inferencing and agentic functions at the edge.
“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.”
Author’s summary: Intel and Cisco’s integrated edge AI platform combines cutting-edge hardware and software to deliver scalable, secure real-time inference where data is generated, addressing modern enterprise demands.