Choose a data center switch from the fabric evidence you need to defend: port speed, optical reach, oversubscription, ECMP behavior, queue telemetry, failure recovery, and SONiC operations. For Australian buyers, the right switch is not the highest headline speed; it is the platform that can prove workload behavior under the traffic pattern, optics budget, and rollback workflow the operations team will actually run.
Quick Recommendation
| Need | Recommended fit | Why it fits |
|---|---|---|
| AI/ML cluster spine | XS-DC-64X800-AI-G1 | 64x 800G ports with ultra-low latency for GPU interconnects. |
| General-purpose spine | XS-DC-32X400-SP-G1 | 32x 400G ports for spine-leaf fabrics with balanced cost/performance. |
| Storage fabric | XS-DC-64X200-LS-G1 | 64x 200G ports optimized for storage network traffic patterns. |
Model Comparison
| Model | Ports | Speed | Latency | Typical role |
|---|---|---|---|---|
| XS-DC-64X800-AI-G1 | 64x QSFP-DD800 | 800G | <800ns | AI cluster spine, HPC fabric |
| XS-DC-32X400-SP-G1 | 32x QSFP-DD | 400G | <900ns | General spine, leaf-spine fabric |
| XS-DC-64X200-LS-G1 | 64x QSFP56 | 200G | <1 us | Storage fabric, data center edge |
| XS-DC-48X25-8X100-TOR-G2 | 48x SFP28 + 8x QSFP28 | 25G/100G | <1.2 us | Top-of-rack, server access |
How to Decide
Choose 800G for AI and ML workloads
AI training clusters generate massive east-west traffic between GPUs. 800G switches provide the bandwidth needed for large language model training and distributed inference workloads.
Choose 400G for general-purpose data centers
Most enterprise data centers can start with 400G spine switches and 25G/100G ToR switches. This provides ample bandwidth for virtualization, databases, and web applications.
Choose 200G for storage networks
Storage traffic is typically bursty and latency-sensitive. 200G switches offer a good balance of port density and cost for NVMe-oF and iSCSI workloads.
Engineering Acceptance Checkpoint
Treat the shortlist as accepted only after a lab run proves fabric behavior, not just port count. A practical acceptance test should validate 3 traffic classes, at least 2 ECMP paths, one leaf failure, one spine failure, and a 30 minute steady-state run at the expected oversubscription ratio. For AI fabrics, capture queue depth, ECN marks, PFC pause frames, packet drops, link flap recovery time, and application step time in the same test window.
| Acceptance item | Evidence to collect | Reject condition |
|---|---|---|
| Control plane stability | BGP/EVPN adjacency state, SONiC service health, and route convergence logs. | Any recurring service restart, route flap, or unexplained convergence delay. |
| Loss and latency behavior | Interface counters, queue telemetry, ECN/PFC counters, and p99 latency during load. | Packet loss on protected classes or tail latency outside the workload SLO. |
| Operational fit | Configuration backup, rollback test, telemetry export, and automation dry run. | No repeatable rollback path or missing telemetry for the failure modes above. |
Tip: All xSONiC data center switches support SONiC, allowing you to use the same network operating system across your entire fabric. This simplifies operations and reduces training costs.
Related Guides
- How to Choose a Network Packet Broker - for traffic visibility and monitoring in data center fabrics.
- How to Choose an Access Switch - for campus and edge deployments.