Earlier this week, we announced that we’re expanding the Cisco Secure AI Factory with NVIDIA with new rack scale and high-density compute options, including support for NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8 and featuring Cisco AI Networking spanning both Cisco Silicon One and NVIDIA Spectrum-X Ethernet silicon. Through a partnership with Supermicro, our expanded compute portfolio enables the Cisco Secure AI Factory with NVIDIA to add rack-to-fabric liquid and air-cooled compute and switching, serving more types of customers and more use cases, with security and observability built in.
If we’re learning anything right now about the pace of deployment in AI, speed only counts if it also comes with the ability to secure and control data, manage token costs, and deliver real returns on investment. That’s simply not possible without the right infrastructure, delivered as an integrated solution that’s easy to deploy and secure from day one. That’s why Cisco and NVIDIA are enabling enterprises to own their AI by building customized models and agents around their data, workflows, and expertise while keeping that advantage secure and under their control. NVIDIA’s enterprise AI platform, including Nemotron open frontier models, gives organizations a powerful starting point to create, improve, and run custom AI. Combined with the Cisco Secure AI Factory with NVIDIA and the full Vera Rubin platform, enterprises gain a full-stack, enterprise-ready foundation to scale AI reliably across the entire lifecycle.
The Cisco Secure AI Factory with NVIDIA helps both enterprise as well as sovereign and neocloud customers plan AI investments with confidence. Customer benefits include:
Less risk: Cisco and Supermicro each bring industry-leading global supply chain expertise to help mitigate delivery timeline challenges.Faster time to value: With Cisco Secure AI Factory solutions based on NVIDIA reference architectures, customers can have confidence that their infrastructure is pressure-tested for modern workloads, with security and resiliency built in through Cisco Hybrid Mesh Firewall on NVIDIA BlueField.Simplified operations: With NVIDIA AI Enterprise software and AgenticOps through Cisco Cloud Control, customers will use tools they already know, making AI deployment feel like an expansion rather than an overhaul.
This is especially important for neoclouds, sovereign clouds, and large enterprises, because when you’re standing up capital-intensive AI capacity, the time between a rack landing on the floor and when it’s up and running securely is a massive cost in and of itself. Every week spent proving infrastructure works as designed is a week of capacity earning nothing.
There are two more parts I want to call out:
**We’re the only NVIDIA technology partner to achieve NVIDIA Cloud Partner (NCP) compliance with its own switches and network operating system through Cisco Nexus One.**Neocloud and sovereign cloud customers gain a validated path to AI that extends the skills, tools, and operating model they use today to large-scale inference, agentic AI, and trillion-parameter model training.We’re backing this offering with Cisco Validated Infrastructure Services. Compliance at the architecture level is valuable, but it doesn’t necessarily prove a specific deployment was built to that design. CVIS, aligned with NVIDIA’s own Validated Infrastructure Services offer (NVIS), certifies infrastructure is built exactly as it was designed and aligned with reference architectures. And to reinforce our commitment, we’re investing in a dedicated, large-scale AI Lab to keep building and testing the tools behind it.
Finally, instead of a patchwork of parts that needs to be integrated, this is a full-stack offer that will all be delivered and validated as one system tying together compute, networking, security, storage, software, and AgenticOps with Cisco Cloud Control as the unified management platform.
The world of AI is moving at incredible speed. We all need to move just as fast, and that means validated designs, integrated solutions, security built-in, and management that gives you simplicity of deployment without sacrificing speed or sophistication.
For more details about our partnership with Supermicro and how we’re expanding Cisco Secure AI Factory with NVIDIA, read Jeremy Foster and Will Eatherton’s blog, More Than Rack-Scale Compute: Operationalizing AI at Scale.