Data Center AI

XS-DC-32X100-LS-G1

32x100G QSFP28, Enterprise SONiC, and low-latency fabric switching for 100G data center buildouts.

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32-port 100G leaf/spine switch for compact data center fabrics, cloud routing, and high-throughput server aggregation.

  • Marvell Teralynx 7 ASIC delivers ~500ns cut-through latency for RoCEv2 and AI workloads
  • 70 MB packet buffer handles microburst traffic without drops
  • 3.2 Tbps non-blocking switching capacity across all 32 QSFP28 ports
  • Enterprise SONiC with gNMI, ZTP, and Ansible for zero-touch fabric provisioning
  • Hot-swappable power (1+1) and fans (4+1) for carrier-grade uptime
XS-DC-32X100-LS-G1 front panel product image

Specification Overview

Technical specifications.

Use this table as the fast path for platform sizing, port planning, and software compatibility checks.

Category Data Center AI
Rack Units 1U
Ports 32x 100G QSFP28 / 2x 10G SFP+ management or auxiliary ports
Switching Capacity 3.2Tbps
Forwarding Rate 6,300Mpps
OS Version Enterprise SONiC / xSONiC OS profile
Protocols BGP, BGP-EVPN, VXLAN, MLAG, RoCEv2, OSPF, ECMP, LLDP, LACP
Management CLI, REST API, gNMI, ZTP, Python, Ansible, SNMP
Power Consumption <710W (max)
Operating Temperature 0–45°C

Deployment Context

Where this platform fits.

Review positioning, capability notes, and deployment guidance for this xSONiC platform.

Why This Platform

The XS-DC-32X100-LS-G1 targets teams building 100G leaf/spine fabrics who need predictable latency and open network automation. Unlike proprietary switches that lock you into a single NOS, this platform runs Enterprise SONiC (xSONiC OS profile), giving your network team full control over BGP, EVPN, and VXLAN configuration through standard APIs and tooling.

The Marvell Teralynx 7 IVM77500 ASIC is the key differentiator. At ~500ns cut-through latency, it meets the strict timing requirements of RoCEv2 storage fabrics and AI/ML training clusters where even microsecond-level jitter can degrade job completion times. The 70 MB packet buffer absorbs microburst traffic patterns common in data center east-west flows without tail-drop.

Fabric Design Considerations

With 32x 100G QSFP28 ports in a 1RU form factor, this switch works as either a leaf (connecting to 32 servers at 100G) or a spine (connecting to 32 leaf switches). The symmetric port count simplifies fat-tree and CLOS topology design — no oversubscription calculation needed when every port runs at the same speed.

For teams scaling beyond 32 leaves, pair this switch with the XS-DC-32X100-LS-G2 which adds 400G uplinks for multi-tier fabrics. In a two-tier CLOS with 32 spines, you can support up to 1,024 server-facing 100G ports.

Automation and Operations

The platform supports the full SONiC management stack:

  • gNMI for streaming telemetry and real-time state collection
  • ZTP (Zero Touch Provisioning) for hands-off switch bootstrapping
  • REST API for integration with custom orchestration platforms
  • Ansible modules for declarative configuration management
  • Python SDK for building custom operational tooling

The Broadwell DE D-1508 CPU with 16 GB DDR4 handles control plane tasks (route convergence, telemetry export, API serving) without impacting data plane performance. The 128 GB SSD provides ample space for SONiC images, configuration backups, and telemetry buffers.

Reliability and Physical Specs

The switch ships with dual hot-swappable AC power supplies (1+1 redundancy) and five hot-swappable fan modules (4+1 redundancy). Front-to-rear airflow matches standard cold-aisle/hot-aisle data center layouts. At 12 kg and 44 × 440 × 515 mm, it fits any standard 19-inch rack with 1RU of space.

MTBF exceeds 100,000 hours. The platform carries a 2-year warranty.

Typical deployment scenarios

  • 100G leaf/spine fabrics for private cloud and enterprise data centers
  • Top-of-rack or same-speed fabric edge deployments
  • RoCEv2-ready storage and compute networks
  • VXLAN overlay fabrics with automated provisioning
  • AI/ML training clusters requiring low-latency east-west traffic
  • HPC interconnect fabrics with deterministic forwarding
Technical Consultation

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