via Cisco

AMSTERDAM, Feb. 10, 2026 /PRNewswire/ -- CISCO LIVE EMEA -- Cisco (NASDAQ: CSCO) continues to transform the network into an AI innovation platform, today unveiling the Silicon One G300, a 102.4 Tbps switching silicon designed for massive AI cluster buildouts. The Cisco Silicon One G300 will power new Cisco N9000 and Cisco 8000 systems that push the frontier of AI networking in the data center. The systems feature innovative liquid cooling and support high-density optics to achieve new efficiency benchmarks and ensure customers get the most out of their GPU investments. In addition, the company enhanced Nexus One to make it easier for enterprises to operate their AI networks — on-premises or in the cloud — removing the complexity that can hold organizations back from scaling AI data centers.


Silicon One G300: The Networking Foundation for the Agentic Era
The new Silicon One G300 is a 102.4 Tbps switching silicon that exemplifies Cisco's rapid innovation and sets a new standard for AI backend networking. It is designed to power massive, distributed AI clusters with high performance, security, and reliability.

The G300 uniquely offers Intelligent Collective Networking, which combines an industry-leading fully shared packet buffer, path-based load balancing, and proactive network telemetry to offer better performance and profitability for large-scale data centers. It efficiently absorbs bursty AI traffic, responds faster to link failures, and prevents packet drops that can stall jobs, ensuring reliable data delivery even over long distances. With Intelligent Collective Networking, Cisco can deliver 33% increased network utilization, and a 28% reduction in job completion time versus simulated non-optimized path selection, making AI data centers more profitable with more tokens generated per GPU-hour.


"WWT clients know and trust Cisco networking in the AI data center. With the G300-powered N9000 and Nexus One, we're extending that trust to AI workloads—102.4 terabits of capacity with the industry's largest on-chip buffer, managed through Nexus Dashboard. This is the fastest we've seen Cisco move, and it's exactly what our clients need to accelerate their AI journeys." – Neil Anderson, VP and CTO, Cloud, Infrastructure, and AI Solutions, WWT

 

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