Cisco and NVIDIA Unveil Secure AI Infrastructure

Mar 19, 2025
Cisco and NVIDIA have announced the Cisco Secure AI Factory, a new architecture designed to enhance AI infrastructure security and simplify enterprise AI adoption.
Cisco and NVIDIA Unveil Secure AI Infrastructure

Cisco Systems, Inc. has unveiled a new AI factory architecture in collaboration with Nvidia, designed to enhance security and simplify the deployment of AI infrastructure. Announced in a press release, the Cisco Secure AI Factory aims to integrate security at every layer of the AI stack, from applications to infrastructure.

The collaboration builds on a previously expanded partnership between the two companies, focusing on providing validated reference architectures. The Secure AI Factory will leverage Cisco's security solutions, such as Cisco AI Defense and Hybrid Mesh Firewall, alongside NVIDIA's Spectrum-X Ethernet networking platform. This integration is intended to offer enterprises a flexible and secure foundation for AI workloads.

The architecture will feature components like Cisco UCS AI servers, Cisco Nexus networking solutions, and high-performance storage from partners like Pure Storage and NetApp. The solution is expected to be available for purchase by the end of 2025, with many components already accessible.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.