Cisco Launches NVIDIA Partner-developed Data Center Switch for Neocloud, Enterprise and Telecom

Cisco Launches NVIDIA Partner-developed Data Center Switch for Neocloud, Enterprise and Telecom

Cisco today introduced major advancements to accelerate secure, scalable AI across market segments. Leading the announcements is the Cisco N9100, the first NVIDIA partner-developed data center switch based on NVIDIA Spectrum-X Ethernet switch silicon.

With this switch, Cisco is offering a NVIDIA Cloud Partner-compliant reference architecture for neocloud and sovereign cloud deployments. For enterprise customers, Cisco Secure AI Factory with NVIDIA, strengthened protection and visibility across AI deployments with new security and observability integrations. To pave the way for next-generation connectivity in the telecom industry, Cisco, NVIDIA and additional partners unveiled the industry’s first AI-native wireless stack for 6G. Together, these innovations offer neocloud, enterprise, and telecom customers the flexibility and interoperability to efficiently build, manage and secure AI infrastructure at scale.

“We’re at the beginning of the largest data center build-out in history,” said Jeetu Patel, President and Chief Product Officer, Cisco. “The infrastructure that will power the agentic AI applications and innovation of the future requires new architectures designed to overcome today’s constraints in power, computing, and network performance. Together, Cisco and NVIDIA are leading the way in defining the technologies that will power these AI-ready data centers in all their varieties, from emerging neoclouds, to global service providers, to enterprises, and beyond.”

“NVIDIA Spectrum-X Ethernet delivers the performance of accelerated networking for Ethernet,” said Gilad Shainer, SVP of Networking at NVIDIA. “Working with Cisco’s Cloud Reference Architectures and NVIDIA Cloud Partner design principles, customers can choose to deploy Spectrum-X Ethernet using the newest Cisco N9100 series or Cisco Silicon One based switches to build open, high-performance AI networks.”

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