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Data Center Networking

High-performance data center fabrics built on spine-leaf architecture, VXLAN/EVPN overlays and lossless Ethernet — sized today for east-west traffic, and ready tomorrow for GPU clusters that demand zero packet loss.

Common Challenges

Three-tier designs collapsing under east-west traffic from virtualization and microservices
Spanning-tree blocking uplinks and stranding bandwidth you already paid for
VLAN headroom exhausted just as tenants and environments multiply
AI and storage workloads losing throughput to microbursts and packet drops
Difficulty scaling beyond 400GbE without a forklift replacement
Day-two operations run through device-by-device CLI instead of automation

Our Approach

1

Traffic Profiling

We analyze north-south versus east-west flows, oversubscription ratios and burst behaviour to establish what the fabric actually needs to carry.

2

Fabric Architecture

A spine-leaf topology is designed with ECMP, EVPN and VXLAN overlays so every uplink forwards traffic and L2 domains extend across pods cleanly.

3

Lossless Design

For GPU clusters and NVMe storage we tune priority flow control, ECN marking and buffer thresholds so RoCE traffic runs without drops under load.

4

Supply & Staging

Switches, optics, DAC/AOC cables and rail kits are sourced through authorized channels and pre-staged, with optics matched to reach and port breakout.

5

Migration & Automation

Cutover runs pod by pod against a documented rollback, and we can deliver Ansible or Python tooling so routine changes become repeatable operations.

Recommended Products

Spine Switches

  • Cisco Nexus 9300/9500
  • NVIDIA Spectrum SN4000/5000
  • Huawei CloudEngine 16800
  • Arista 7280R3

Leaf & TOR

  • Cisco Nexus 9300-GX/GX2
  • NVIDIA Spectrum SN3000/2000
  • Huawei CloudEngine 6800
  • H3C S6800/S6860

AI Fabric & RDMA

  • NVIDIA Spectrum-X platform
  • NVIDIA BlueField DPUs
  • NVIDIA ConnectX-7/8 adapters
  • RoCEv2 fabric tuning

Interconnect Optics

  • 400G QSFP-DD SR8/DR4/FR4
  • 100G DAC and AOC
  • 800G OSFP uplinks
  • Breakout cables and fanouts

SDN & Automation

  • Cisco NDFC / ACI
  • Huawei iMaster NCE-Fabric
  • Ansible and Python toolchains
  • Telemetry and gNMI streaming

Storage & Multi-site

  • 32G Fibre Channel directors
  • NVMe-oF capable fabrics
  • DCI over DWDM
  • Stretched L2 clusters

Why JSA Solution?

Predictable latency: any-to-any traffic traverses a fixed number of hops
Every active uplink forwards — no blocked ports wasting capital
Scalable by adding leaves and spines without redesigning the core
VXLAN/EVPN overlays remove the 4096 VLAN ceiling
Lossless fabric tuning available for AI, HPC and NVMe-oF workloads
Multi-vendor sourcing includes NVIDIA Spectrum-X for GPU estates
Automation tooling delivered so operations stop depending on manual CLI
Worldwide shipment from Shenzhen with authorized channel warranty

Frequently Asked Questions

When is spine-leaf clearly better than a traditional three-tier design?+

Once the majority of your traffic moves server-to-server rather than client-to-server, which is the normal situation in any virtualized or containerized environment, a spine-leaf fabric delivers more bandwidth and more predictable latency for the same hardware spend. The deciding factor is traffic profile: if east-west flows dominate, three-tier designs turn into a bottleneck you cannot tune away.

What oversubscription ratio should we design for?+

General-purpose enterprise workloads are generally comfortable at 3:1 at the leaf, while GPU training pods and NVMe-over-Fabrics workloads normally justify 1:1 to avoid collective stalls during all-reduce operations. We model both against your actual flow data, so you can see the cost difference before choosing rather than discovering it after deployment.

Do we need a lossless fabric if we already run RoCEv2?+

RoCEv2 requires a lossless transport to preserve throughput, which means priority flow control and ECN must be configured deliberately rather than left at defaults. A fabric that is not tuned will usually pass traffic but suffer sharp throughput drops during microbursts. Whether you need full lossless depends on workload sensitivity, so we size it to the actual application.

How do we move from 100G to 400G without replacing everything?+

Most modern spine platforms accept higher-speed line cards or share the same hardware SKU across port speeds, so uplinks can move first while access ports stay at 25G or 100G. Designing for that upgrade path from the start is far cheaper than replacing the fabric, and we plan for it explicitly during selection.

Can you build the AI fabric and the general-purpose data center network together?+

Yes. Many organizations run a dedicated lossless rail for GPU nodes alongside their production fabric, sharing management, telemetry and spares. We design both, size the buffers independently and ensure the two domains interconnect cleanly at the border, rather than forcing GPU traffic onto a fabric that was never tuned for it.

What automation or tooling do you hand over?+

A typical handover includes Ansible playbooks for VLAN fabric provisioning, port configuration templates and telemetry dashboards, plus a written runbook covering upgrades and common failure scenarios. If you prefer vendor controllers, we can implement Cisco NDFC or Huawei iMaster NCE-Fabric instead of custom tooling.

Which optics should we select for 400G links?+

Within a rack or a short row, DAC and AOC cost significantly less than optical transceivers and consume less power. Beyond roughly 100 metres, DR4 over parallel single-mode is usually the most economical step, with FR4 preferred when you want duplex fiber reuse. We match optics to measured distances so you are not paying for reach you will never use.

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