Cisco AI POD
A plug-and-play AI POD reference architecture with pre-validated servers, network, and GPUs.
An integrated stack pre-validating UCS C885A M8 servers and Nexus 9364E-SG2 switches against the NVIDIA Enterprise Reference Architecture (2-8-9-400). It reduces design risk and shortens deployment time.
What Is Cisco AI POD
An AI POD is a reference architecture (RA) in which servers, network, and GPUs are pre-combined and validated. Instead of validating individual components' compatibility and performance themselves, customers can adopt a pre-configured stack aligned to the NVIDIA Enterprise Reference Architecture (2-8-9-400) as-is. It is a plug-and-play AI infrastructure building block that reduces design risk and deployment time.
Key Capabilities
Pre-validated configuration
Validated combination of UCS C885A M8 + Nexus 9364E-SG2 800G switches
NVIDIA RA compliance
Standard configuration aligned to the Enterprise Reference Architecture (2-8-9-400)
Built-in lossless fabric
RoCEv2 lossless Ethernet AI fabric, pre-configured
Scalable topology
Leaf-spine topology makes it easy to scale
Reference Configuration
| Item | Configuration |
|---|---|
| Compute | UCS C885A M8 (8-GPU HGX) |
| Network | Nexus 9364E-SG2 (800G) |
| Reference | NVIDIA Enterprise RA 2-8-9-400 |
| Fabric | RoCEv2 lossless Ethernet |
| Topology | Scalable leaf-spine |
What It's Used For
Validated AI infrastructure adoption
Adopt a standard stack quickly, without design-validation burden
Enterprise standardization
Repeat the same validated configuration across multiple sites
Phased expansion
Start with a POD and expand the cluster as needed