AI Data Center Networking Test

Validate the high-speed Ethernet fabrics and AI inference pipelines powering next-generation AI data centers and applications, from 800G and 1.6T TestCenter testing to AI Inference load testing with CyberFlood.

AI Data Center Networking Test ensures new high-speed Ethernet tech meets the data center networking needs of high-scale AI workloads.

AI workloads are reshaping data center networking. Hyperscalers, cloud providers, and AI-native companies demand test solutions that mirror real-world AI traffic patterns, from large-scale model training across 800G and 1.6T Ethernet fabrics using the new UEC 1.0 specification, to real-time AI inference behind production applications.  VIAVI delivers an end-to-end test portfolio spanning the full AI data center stack. 

  • High-speed fabric validation
    TestCenter emulates advanced RoCEv2 and CCL traffic, GPUs, NICs, and Servers from 400G to 1.6T
  • Lifecycle & Regression Support
    128 GPU/NIC emulation per port. Native CCL and LLM training traffic at production scale
  • Advanced AI Performance Metrics
    JCT, tail latency, and advanced packet-level stats for AI fabric benchmarking and performance isolation
  • AI Inference testing
    CyberFlood stress-tests LLM inference endpoints at production scale, measuring TTFT, throughput, and latency
  • DPU and SmartNIC Assessment
    CyberFlood validates DPU and SmartNIC offload performance under realistic AI and cloud-native traffic mixes
TestCenter B3 800G Appliances

TestCenter, High-speed Ethernet & AI Fabric Testing

Industry-leading Ethernet test platform for validating AI training fabrics. Delivered on the A1 400G, B3 800G and D2 1.6T appliances, supporting RoCEv2, CCL AI workload emulation, congestion control, and multi-path load balancing at wire-rate speeds.

Key capabilities:

  • AI fabric emulation, a library of native CCL algorithms, mixed-algorithm and background traffic support
  • LLM traffic emulation for ChatGPT, Llama, DeepSeek, RestNet, AlexNet
  • Tail latency metrics: JCT, P95/P99/P99.9, BusBW, out-of-sequence packets
  • Congestion control: NSCC and RCC; ROD/RUD on UD/IP and IP
  • Multi-rate: 100G, 200G, 400G, 800G, 1.6T on a single platform
  • Scale to multi-terabit router validation for hyperscale environments

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TestCenter D2 1.6T 4-Port Appliance

Purpose-built 1.6T test appliance with four OSFP ports of line-rate traffic generation in a compact form factor, ideal for switch and transceiver validation labs.
 

Key capabilities:

  • AI fabric emulation, a library of native CCL algorithms, mixed-algorithm and background traffic support
  • LLM traffic emulation for ChatGPT, Llama, DeepSeek, RestNet, AlexNet
  • 4 × 1.6T OSFP ports, line-rate wire-speed traffic
  • Multi-rate: 1.6T, 800G, 400G, 200G operation
  • Integrated with TestCenter software ecosystem

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TestCenter D2 1.6T 4-Port Appliance
Cyberflood

CyberFlood AI Inference Testing

Purpose-built AI inference load testing for LLM serving infrastructure. Emulates realistic prompt traffic, measures latency under load, and stress-tests GPU clusters and inference endpoints at scale.

Key capabilities:

  • LLM prompt emulation with configurable token lengths
  • Time-to-first-token (TTFT) and end-to-end latency measurement
  • Throughput benchmarking: tokens/sec and requests/sec
  • Multi-model, multi-endpoint concurrency testing
  • OpenAI-compatible API support for broad ecosystem coverage

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CyberFlood, DPU & SmartNIC Assessment

Validate DPU and SmartNIC offload performance under realistic AI and cloud-native traffic. Characterize throughput, latency, and offload efficiency across security, storage, and networking functions.

Key capabilities:

  • Offload function benchmarking: crypto, compression, vSwitch
  • Realistic multi-tenant traffic mix emulation
  • Latency characterization under load
  • Support for major DPU and SmartNIC vendors

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Cyberflood

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