思科推出N9100交换机和符合NVIDIA云合作伙伴的架构，为安全、可扩展的AI和6G就绪网络提供支持

Cisco offers a NVIDIA Cloud Partner-compliant reference architecture based on new data center switching solutions, providing customers ultimate flexibility as they build critical AI infrastructure.

News Summary:

• With the new Cisco N9100 series switch, Cisco now offers neocloud and sovereign cloud customers a NVIDIA Cloud Partner-compliant reference architecture, delivering a unified operating model with the flexibility of NX-OS or SONiC.
• Cisco is introducing the Cisco Cloud Reference Architecture for neocloud and sovereign cloud customers; the new offering is based on the tenets of the NVIDIA Cloud Partner reference architecture and utilizes Cisco Silicon One-based switches with embedded NVIDIA Spectrum-X capabilities.
• For enterprises, Cisco strengthens the Secure AI Factory with NVIDIA through advancements in compute, security, networking, observability, and new ecosystem partnerships.
• Cisco, NVIDIA, and other telecom industry partners unveil the first AI-native wireless stack for 6G, empowering telecom providers with a network transition path for the AI era.

WASHINGTON, Oct. 28, 2025 /PRNewswire/ -- GTC -- Cisco (NASDAQ:CSCO) 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, strengthens 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.