Cisco Nexus 9364E-SG2-O Data Centre Switch

The Cisco Nexus 9364E-SG2-O provides high-density Ethernet switching for enterprise and hyperscale data centres running AI training and inference. Built for leaf and spine roles, it delivers the network headroom needed to scale accelerated workloads without redesigning the fabric.

Cisco Nexus 9364E-SG2-O Data Centre Switch

Cisco Nexus 9364E-SG2-O Key Platform Specifications

  • Primary Use Case: AI/ML Leaf / Spine
  • Access Ports: 64
  • Port Configuration: 64×OSFP
  • Maximum Port Speed: 800G
  • Switching Capacity (Gbps): 51200
  • Routing Capability: Dynamic
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Cisco Nexus 9364E-SG2-O Overview

As accelerated workloads expand, infrastructure teams need fabric capacity that keeps east-west traffic moving cleanly without forcing constant redesigns.

800G Switching for Dense AI Fabrics

The Cisco Nexus 9364E-SG2-O is an 800G leaf and spine switch for AI and ML environments, including large GPU clusters and web-scale Ethernet fabrics. It is built for production networks where training and inference traffic must share the same high-bandwidth path.

Designed for Scale and Migration Headroom

With up to 64 network ports and OSFP host interfaces, the platform gives operators a dense foundation for high-capacity deployment. Its 800 Gbps port speed provides the headroom needed when 400G fabrics are no longer enough.

Operational Fit for Compute-Heavy Environments

The result is a fabric that better supports GPU-to-GPU and storage traffic, helping reduce network contention and preserve the value of accelerated compute. It also gives teams a clearer path to scale without replacing the core architecture at every growth step.

For planning around Cisco Nexus 9364E-SG2-O, our team can help align the switch to your fabric design and deployment requirements.

Cisco Nexus 9364E-SG2-O Key Features​

Cisco Nexus 9364E-SG2-O is a data center networking platform for enterprise environments, designed to provide a resilient switching foundation that supports scalable connectivity, operational consistency, and modern infrastructure demands.

Scalable Nexus Switching Fabric

High-Density Switching Platform
The platform is built to support dense data center connectivity for aggregation and fabric roles within enterprise network architectures.

Leaf-Spine Alignment
Its switching design fits modern leaf-spine environments that depend on predictable east-west traffic handling and structured scaling.

Infrastructure Segmentation
The platform can support segmented network design to separate workloads and preserve operational clarity across shared environments.

Data Center Connectivity Base
It provides a foundation for attaching servers, storage, and downstream network services within a centralized switching layer.

Operational Control And Resilience

Centralized Network Management
The platform supports consistent operational control across the switch fabric to simplify administration in enterprise data centers.

Traffic Resiliency
Its architecture is intended to maintain service continuity for critical network paths in demanding infrastructure environments.

Policy-Driven Operations
The switch can support policy-based network behavior that helps align traffic handling with application and infrastructure requirements.

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When you need to scale a Cisco switching environment or align data center connectivity with your operating model, our team can help shape the right architecture.

Cisco Nexus 9364E-SG2-O Technical Specifications

Full specifications for this model are listed below.

Additional information

Product Family

Cisco Nexus 9000
Product Series

N9300-SG2
Deployment

Data Centre
Target Organisation Size

Enterprise / Hyperscale
Primary Use Case

AI/ML Leaf / Spine
Product Tier

Flagship
Network Architecture

Layer 3
Access Ports

64
Access Port Architecture

OSFP
Uplink Ports

None
Uplink Architecture

None
Total Ports

64
Maximum Port Speed

800G
Port Configuration

64×OSFP
PoE

No
Stacking

No
Operating System

NX-OS
Power Redundancy

Hot-swappable 1+1 PSUs
Maximum VLANs

4096
Routing Capability

Dynamic
Switching Capacity (Gbps)

51200

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Cisco Nexus 9364E-SG2-O Deployment Scenarios

The Cisco Nexus 9364E-SG2-O is designed for high-scale Ethernet fabrics in AI, accelerated compute and next-generation data centre environments where east-west traffic has outgrown 400G headroom and network contention is starting to affect application throughput.

Next-Generation AI Data Centre Fabrics

Large AI data centres need leaf and spine capacity that can absorb heavy GPU, compute and storage traffic without forcing a redesign at the next growth step. This platform gives fabric teams more room to scale beyond 400G.

GPU Training Clusters for Software Development Teams

AI engineering teams running model training and development clusters often see network use dominated by GPU-to-GPU traffic and shared storage movement. This switch helps keep those clusters moving by reducing bottlenecks between accelerated systems.

Mixed-Speed Telecoms Migration Fabrics

Telecoms operators modernising cloud and backbone networks need higher fabric capacity while legacy speeds remain in service. The 9364E-SG2-O supports that gradual migration path, allowing teams to add 800G scale without replacing everything at once.

Rendering and Simulation Environments

Media and entertainment pipelines with many active nodes place sustained pressure on east-west bandwidth, especially when rendering or simulation jobs hit shared storage together. This switch provides the headroom needed to keep large batches progressing efficiently.

AI and Quantitative Analytics in Finance

Financial institutions running large AI and quantitative clusters need fast data exchange so expensive compute does not sit idle waiting on the network. The 9364E-SG2-O fits that pressure point by supporting higher-throughput fabric design.

Planning a Cisco Nexus 9364E-SG2-O Deployment?

Our team can help design and deploy Cisco Nexus 9364E-SG2-O fabrics for AI, accelerated compute, telecoms, media workflows and finance, with sizing support for scale, migration, resilience and operational overhead.

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