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Cisco Silicon One has stood for innovation since day one. It’s the first unified architecture for routing and switching silicon, provides the most scalable solutions in the industry, and offers the most customer choice, with the ability to consume in a variety of ways including silicon, hardware and full systems. It is now used in over 40 Cisco platforms across cloud, artificial intelligence / machine learning (AI/ML), service provider, enterprise campus and data center networks.

Meta announced at Open Compute Project (OCP) Global Summit that they plan to deploy the OCP-inspired Cisco 8501, which combines the power of the Cisco Silicon One G200 and a Cisco-designed and validated hardware system. Continuing the momentum, Cisco also announced two new solutions based on Cisco Silicon One G200 – the Cisco 8122-64EH/EHF and the Cisco Nexus 9364E-SG2. These are purpose-built products to support AI/ML buildouts across enterprise datacenters and hyperscalers.

 

Chart showing where the Cisco Silicon One supports AI/ML biuldouts across enterprise datacenters and hyperscalers.
Figure 1. Cisco Silicon One G200 51.2 Tbps AI/ML chip powers new systems across unique consumption models.

Large-scale, high-bandwidth AI/ML networks are evolving quickly. They demand scalable, programmable, high-radix, low-power switches with advanced load balancing and observability – all of which are the foundation of Cisco’s Silicon One architecture.

We have more exciting news coming in the near future; in the meantime, learn all about Cisco Silicon One architecture, devices, and benefits.


Read more:

Building AI/ML networks with Cisco Silicon One

Evolve AI/ML networks with Cisco Silicon One



Authors

Martin Lund

Executive Vice President

Common Hardware Group