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.
Start with the decision matrices below, then compare all xSONiC data center and AI switch models against the accepted role, speed, optics, buffer, software, and support requirements. A category page is a shortlist, not proof that every model fits every AI, storage, or enterprise fabric.
For private inference, first record the model, precision, context length, concurrency, host-I/O, storage, and latency targets on the xSONiC AI Inference Server evaluation page. Treat those inputs as requirements for the network shortlist; the guide does not imply that every switch fits every server configuration.
Data Center Switch Comparison: Fast Shortlist
| Need | Recommended fit | Why it fits |
|---|---|---|
| AI/ML cluster spine | XS-DC-64X800-AI-G1 | 64x800G OSFP ports and 51.2Tbps published switching capacity for an 800G fabric shortlist. |
| General-purpose spine | XS-DC-32X400-SP-G2 | 32x400G QSFP-DD ports and 12.8Tbps published switching capacity for a 400G spine shortlist. |
| Storage fabric | XS-DC-64X200-LS-G1 | 64x200G QSFP56 ports for storage, compute, and scale-out fabric evaluation. |
Architecture Decision Matrix
| Decision | Evidence required | Usually points toward | Do not shortlist until |
|---|---|---|---|
| 25G/100G server ToR | Servers per rack, dual-homing plan, east-west traffic, uplink fan-out, and accepted oversubscription. | High-density 25G downlinks with 100G uplinks, or 100G leaf ports where the server NIC roadmap requires them. | Normal and single-uplink-failure traffic both remain inside the application SLO. |
| 200G storage or frontend fabric | Storage latency, burst profile, queue depth, link reach, and failure-domain measurements. | Dense 200G leaf/spine roles when endpoints and optics can use the interface rate. | The storage benchmark and recovery test pass with production-equivalent traffic. |
| 400G general spine | Leaf count, ECMP width, planned breakout, route scale, optics budget, and growth window. | 32-port 400G platforms for balanced enterprise leaf-spine capacity. | ECMP, convergence, optics, telemetry, and rollback are validated on the intended SONiC release. |
| 400G/800G GPU backend | GPU NIC speed, collective traffic, rail topology, incast, p99 latency, and job step-time targets. | 400G or 800G low-latency platforms sized from workload evidence rather than headline bandwidth. | The RoCEv2, ECN, PFC, queue, and failure tests pass at target scale. |
| Open SONiC operations | Supported image, platform APIs, config lifecycle, upgrade/rollback, telemetry paths, and support ownership. | The model whose exact hardware/software combination passes the operational acceptance plan. | “SONiC compatible” is replaced by a documented version, feature, automation, and support matrix. |
xSONiC Data Center Switch Model Comparison
| Model | Ports | Speed | Published switching capacity | Typical role |
|---|---|---|---|---|
| XS-DC-64X800-AI-G1 | 64x OSFP | 800G | 51.2Tbps | AI cluster spine, HPC fabric |
| XS-DC-32X400-SP-G2 | 32x QSFP-DD | 400G | 12.8Tbps | General spine, leaf-spine fabric |
| XS-DC-64X200-LS-G1 | 64x QSFP56 | 200G | 12.8Tbps | Storage fabric, data center edge |
| XS-DC-48X25-8X100-TOR-G2 | 48x SFP28 + 8x QSFP28 | 25G/100G | 2.0Tbps | Top-of-rack, server access |
Use the AI fabric architecture path to define the topology and workload evidence. If the design uses lossless Ethernet, keep the DCBX/PFC negotiation checks separate from the end-to-end RoCEv2 and ECN response tests.
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.