RoCE Solutions for AI & Data Centers

AICPLIGHT

RoCE Solutions for AI & Data Centers

AICPLIGHT provides high-performance RoCE networking solutions for AI clusters, cloud data centers, and enterprise environments.

Built for the Future of AI & Data Centers

High-Performance Ethernet for AI & Cloud Workloads

AICPLIGHT RoCE Solution is designed for modern AI clusters, cloud data centers, and enterprise networks. With a full range of NVIDIA ConnectX adapters, Ethernet switches, optical transceivers, DAC/AOC cables, and network components, we help customers build scalable, reliable, and cost-effective RoCE networks with ultra-low latency.

Ideal for These Environments

AI Training AI Training
Cloud Data Centers Cloud Data Centers
Enterprise Networks Enterprise Networks
Storage Networks Storage Networks
Virtualization & SDN Virtualization & SDN

RoCE Solutions by GPU Platform

High-density AI data center with GPU server racks and 400GbE RoCE optical interconnects for a B200 cluster

B200 GPU CLUSTERS

400GbE RoCEv2 Fabric
for B200 AI Clusters

Build a scalable, 1:1 non-blocking RoCEv2 Ethernet fabric for B200 AI clusters with 400GbE connectivity.

Fabric
400GbE RoCEv2 Ethernet
Architecture
Spectrum-4 SN5400 + ConnectX-7
Designed for
Large-Scale B200 AI Clusters
Explore B200 RoCEv2 Fabric

WHY AICPLIGHT

Why Choose AICPLIGHT RoCE Solutions?

AICPLIGHT helps simplify roce solutions planning with reliable connectivity, complete product coverage, and compatibility-focused support.
Ultra-Low Latency & High Throughput

Ultra-Low Latency & High Throughput

RoCEv2 delivers low latency and high throughput for AI and data-intensive workloads.

Cost-Effective Ethernet Infrastructure

Cost-Effective Ethernet Infrastructure

Leverage standard Ethernet for high-performance, cost-efficient deployments.

Scalable for Any Cluster Size

Scalable for Any Cluster Size

From small AI clusters to large-scale data centers, easily scale your network.

Reliable & Stable Performance

Reliable & Stable Performance

Built on mature Ethernet ecosystems with proven stability and reliability.

RoCE Solutions solution diagram

Key RoCE Solutions Products

RoCE Solution Delivery Process

RoCE solution delivery process from requirements assessment and solution design to product delivery, deployment, testing, and final handover.
  1. 01

    Requirements Assessment

    Review network architecture and project requirements.

  2. 02

    Solution Design

    Plan topology, scalability, redundancy and device selection.

  3. 03

    Product Delivery

    Arrange packing, shipping and order tracking.

  4. 04

    Deployment & Configuration

    Complete installation, cabling and initial configuration.

  5. 05

    Testing

    Verify connectivity, configuration and network performance.

  6. 06

    Acceptance & Handover

    Complete final acceptance and deliver project documentation.

FAQ

RoCE, or RDMA over Converged Ethernet, enables RDMA communication over Ethernet networks. It allows servers, GPUs, and storage systems to exchange data with low latency and high throughput while using Ethernet-based infrastructure.

RoCE uses Ethernet infrastructure, making it suitable for customers who want high-performance networking while keeping Ethernet flexibility and compatibility. InfiniBand is often used for dedicated high-performance AI and HPC clusters, while RoCE is a strong choice for Ethernet-based AI, cloud, storage, and enterprise data center environments.

RoCE networking is suitable for NVIDIA H100, H200, B200, B300, GB200, GB300, and other GPU platforms. The specific network architecture depends on the GPU platform, cluster size, bandwidth requirements, and future expansion plans.

The right RoCE network speed depends on your GPU platform, training scale, data throughput requirements, switch architecture, and future expansion plans. H100 and H200 clusters often use 400G RoCE, while Blackwell-based platforms such as B200, B300, GB200, and GB300 may require 800G or 1.6T-ready network architectures.

Yes. AICPLIGHT can help with RoCE product selection, network adapter matching, transceiver and cable compatibility, link distance planning, and connectivity design based on your GPU platform, switch model, network speed, and project requirements.

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