1
Build an AI Cluster Traffic Model
Define an east-west matrix for training, inference, storage, parameter synchronization and management. Specify ports, queues, priorities, MTU and RoCEv2 policies.
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Laboratory & Industry Solution
AI Computing Center Network Testing
AI Clusters, Storage, RDMA/RoCE and East-West Traffic
Network quality directly affects training, storage I/O and cluster stability. Test RDMA/RoCE transport, low delay and congestion with connected measurements and evidence.
Products
3
Scenarios
6
Evidence
PCAP
Why
Requirements
AI, HPC and storage require high throughput, low delay/loss and stable east-west paths. RoCE lowers CPU involvement through RDMA but increases sensitivity to congestion, queues, PFC, ECN and microbursts.
Before deployment, validate switches, NICs, cables, QoS, MTU, PFC/ECN thresholds, traffic distribution and recovery—not one bandwidth run. Traffic Generation, BestPerf and Flow Hunter provide loads, measurements and passive evidence.
Topology
Test and Deployment Topology
STEP 1GPU / Storage Nodes
STEP 2Traffic Generation East-West Load
STEP 3Switch PFC/ECN
STEP 4BestPerf Quality Measurement
STEP 5Flow Hunter Passive Evidence
How
Implementation
2
Create Burst and Congestion Scenarios
Configure multiple ports, priority markings, durations and bursts to observe switch buffers, queues and congestion policies. Minimum burst granularity depends on model/configuration.
3
Validate Low and Tail Latency
Measure end-to-end quality with BestPerf and correlate training, storage and application windows to assess the effect of tail latency on job efficiency.
4
Locate Network Bottlenecks
Flow Hunter analyzes RoCE traffic, retransmissions, abnormal sessions and background effects to distinguish node, NIC, switch, link and policy problems.
Product Stack
Main Test and Analysis Tools
Tool Combination
NetAccura Traffic Generation
NetAccura Traffic Generation
Generate L2-L3 test streams. Software models also replay Ethernet PCAPs, rewrite IPv4 addresses and TCP/UDP ports, and multiply traffic for performance, security detection and issue reproduction. Stop all transmit tasks before switching modes. Simultaneous generation and replay require separate devices.
Network Quality Measurement Software
BestPerf
Actively measure RTT, directional loss, jitter, micro-outages, TCP goodput and quality under load to establish link baselines.
Network Traffic Analyzer
Flow Hunter
Capture passively through mirrored ports or TAPs for L2-L7 analysis, session investigation, protocol-stage diagnosis and PCAP export.
Result
Expected Outcomes
Find Bottlenecks before AI Cluster Deployment
Validate east-west bandwidth, congestion, tail latency and lossless policies before production training and expansion.
Explain Slow Training and Storage with Evidence
Correlate job windows with network quality, sessions and congestion so application, GPU and network teams can work from evidence.
Produce Reviewable Reports and Evidence
Deliver more than throughput or delay figures: include topology, parameters, timelines, quality curves, key sessions, anomalies, PCAP extracts and retest results. Development, testing, operations, vendors and customers can discuss the same evidence rather than relying on screenshots, verbal descriptions and repeated debate.
References
Related Standards and Methods
NVIDIA RoCE Technical Overview
RoCE provides application-level direct memory access over Ethernet using RDMA semantics, reducing CPU involvement and communication latency.
Red Hat RoCE Configuration Documentation
Distinguishes RoCE v1/v2, UDP 4791, hardware requirements and RDMA connection validation scope.
Next Step
Need to Apply This Solution to Your Network?
NetAccura can create a test topology, parameter table and POC plan based on your links, models, application protocols, available PCAPs and SLA goals.