For two decades, data center networks were designed primarily for north-south traffic: users outside the facility sending requests in, servers processing them, and responses flowing back out. In 2026, the dominant performance constraint is east-west traffic — the horizontal movement of data between servers, applications, containers, and GPU clusters inside the same facility.

Container and Microservices Architectures: Application components now generate network packets as they call across service boundaries. Modern multi-tier architectures decompose monoliths into microservices running in different server pods.
AI and GPU Cluster Workloads: Large AI training jobs generate massive east-west traffic during gradient synchronization across hundreds of GPUs. A single run can generate terabytes of traffic per hour, turning network inefficiency into expensive GPU idle time.
Multi-cloud and Hybrid Architectures: Workloads spanning on-premise and cloud environments require high-bandwidth internal paths to move data efficiently.
The leaf-spine topology (Clos fabric) provides consistent hop counts and multiple equal-cost paths.
Every leaf switch connects to every spine switch.
East-west traffic traverses exactly two hops: Leaf → Spine → Leaf.
ECMP (Equal-Cost Multi-Path) distributes flows across all available uplinks.
| Deployment Size | Leaf Switch | Spine Switch | Uplink Speed | Typical Oversubscription |
|---|---|---|---|---|
| Small (<200 servers) | IRSL3LM-04X24GP-2D-Z8 | CSL3M-04X48GP-H2A-L | 25G SFP28 | 1:4 to 1:6 |
| Medium (200-1000 servers) | IRSL3LM-04X24GP-2D-Z8 | CSL3M-04X48GP-H2A-L (x2) | 100G QSFP28 | 1:2 to 1:4 |
| Large (AI Workloads) | CSL3M-04X48GP-H2A-L | CSL3M-04X48GP-H2A-L (x4+) | 100G or 400G | 1:1 or 1:2 |
Fiber: Single-mode (OS2) for spans >500m; OM4/OM5 for shorter campus-style deployments.
Connectivity: Use MPO/MTP trunk cables for high-density 100G parallel fiber connections.
Standard hashing can cause "hot spots" when large elephant flows (like storage backups) collide on the same link. Flowlet-aware ECMP (supported by the Lanbras CSL3M-04X48GP-H2A-L) fragments these flows into bursts, allowing the ASIC to redistribute them across alternate paths more effectively.
ECN marks packets rather than dropping them when buffers fill up. The end host's TCP stack then slows down transmission, stabilizing the network before overflow occurs.
RoCEv2 is critical for AI clusters, providing microsecond latency. It requires a lossless fabric via:
PFC (Priority Flow Control): Pauses specific priority queues to prevent drops.
DCBX: Negotiates PFC parameters between switches and endpoints.

| Traffic Class | Source | Priority | Queue Treatment |
|---|---|---|---|
| RoCE/Storage | GPU Clusters, NVMe-oF | Highest (PFC) | Priority Queue + ECN |
| API Calls | Microservices | High | Short Queue, Low Latency |
| General Compute | Standard Workloads | Medium | Default Queue |
| Batch/Backup | Replication Jobs | Low | WDRR Scheduling |
Micro-segmentation restricts workloads to required paths, reducing broadcast flooding. Simultaneously, Streaming Telemetry via the LanbrasView NMS allows operators to see queue depths and ECMP heatmaps in real-time.

IRSL3LM04X24GP(config)# class-map match-any ROCE-TRAFFIC IRSL3LM04X24GP(config-cmap)# match dscp 34 IRSL3LM04X24GP(config-cmap)# exit IRSL3LM04X24GP(config)# policy-map QoS-POLICY IRSL3LM04X24GP(config-pmap)# class ROCE-TRAFFIC IRSL3LM04X24GP(config-pmap-c)# set dscp 34 IRSL3LM04X24GP(config-pmap-c)# priority IRSL3LM04X24GP(config)# interface range gi1/0/1-24 IRSL3LM04X24GP(config-if-range)# service-policy input QoS-POLICY
CSL3M04X48GP(config)# vlan 100 name ROCE-FABRIC CSL3M04X48GP(config)# interface range gi1/0/1-24 CSL3M04X48GP(config-if-range)# dcbx mode ieee CSL3M04X48GP(config-if-range)# priority-flow-control mode on CSL3M04X48GP(config-if-range)# priority-flow-control priority 3 no-drop
IRSL3LM04X24GP(config)# ecn enable IRSL3LM04X24GP(config)# ecn threshold queue 0 50 75
| Product | Port Config | Uplinks | Best Fit |
|---|---|---|---|
| IRSL3LM-04X24GP-2D-Z8 | 24x GE | 4x 25G/100G | Leaf switch for mid-size DC |
| CSL3M-04X48GP-H2A-L | 48x GE | 4x 100G QSFP28 | Spine switch / AI Leaf |
| LA-OT-10G3-1.4 | SFP28 | 10G SR/LR | Leaf-Spine optics |
| 2x100GBASE-SR4 | QSFP28 | 100G SR4/LR4 | Spine aggregation optics |
Keywords: data center switch, east-west traffic, leaf-spine architecture, ECMP, ECN, PFC, RoCEv2, AI cluster networking, Lanbras CSL3M-04X48GP-H2A-L, data center fabric, QoS, RDMA.
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