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Cisco Unveils 51.2T Router for Scalable AI Workloads

Cisco has unveiled Cisco 8223, an advanced routing system designed to efficiently and securely connect data centers while supporting next-generation AI workloads. As AI adoption surges, data centers face increasing traffic, power limitations, and evolving security challenges.

Cisco has unveiled Cisco 8223, an advanced routing system designed to efficiently and securely connect data centers while supporting next-generation AI workloads. As AI adoption surges, data centers face increasing traffic, power limitations, and evolving security challenges.

Cisco 8223 addresses these demands as the only fixed Ethernet router delivering 51.2 terabits per second (Tbps), engineered specifically for high-intensity AI data flows. Cisco also introduced its latest Silicon One innovation, the P200 chip, at the heart of the 8223, enabling organizations to overcome network bottlenecks and future-proof their infrastructure for the AI era.

“AI compute is outgrowing the capacity of even the largest data center, driving the need for reliable, secure connection of data centers hundreds of miles apart,”

said Martin Lund, EVP, Cisco’s Common Hardware Group.

“With the Cisco 8223, powered by the new Cisco Silicon One P200, we’re delivering the massive bandwidth, scale and security needed for distributed data center architectures.”

AI workloads are pushing data centers to their limits, with hyperscalers unable to scale-up or scale-out further. This increases pressure on interconnects, as workloads must be distributed across multiple data centers.

Without robust connections, organizations risk performance bottlenecks, wasted power, and inefficiency. The Cisco 8223 offers flexible, programmable networks with deep buffering, ensuring secure, reliable cross-site performance for critical AI workloads.

Creating a future-ready AI network requires scalability, flexibility, and energy efficiency. The Cisco 8223 delivers the capacity to handle growing workloads, full programmability for adaptability, and power-efficient performance to tackle rising energy demands.