dynamo/benchmarks

Benchmarks

This directory contains benchmarking tools and scripts for Dynamo deployments. Benchmarking uses AIPerf directly — a comprehensive tool for measuring generative AI inference performance.

Quick Start

Benchmark a Dynamo Deployment

First, deploy your DynamoGraphDeployment using the deployment documentation, then:

# Port-forward your deployment to http://localhost:8000
kubectl port-forward -n <namespace> svc/<frontend-service-name> 8000:8000 > /dev/null 2>&1 &

# Run a single benchmark
aiperf profile \
    --model <your-model> \
    --url http://localhost:8000 \
    --endpoint-type chat \
    --streaming \
    --concurrency 10 \
    --request-count 100

# Run a concurrency sweep for Pareto analysis
for c in 1 2 5 10 50 100; do
    aiperf profile \
        --model <your-model> \
        --url http://localhost:8000 \
        --endpoint-type chat \
        --streaming \
        --concurrency $c \
        --request-count $(( c * 3 > 10 ? c * 3 : 10 )) \
        --artifact-dir "artifacts/my-benchmark/c$c"
done

# Generate comparison plots
aiperf plot artifacts/my-benchmark

Directory Contents

• incluster/ — Kubernetes Job manifest for running benchmarks inside the cluster
• router/ — KV Router benchmarking scripts (prefix ratio, trace replay, agent, priority queue)
• prefix_data_generator/ — Tools for analyzing and synthesizing prefix-structured data

Comprehensive Guide

For detailed documentation including server-side benchmarking, Pareto analysis, and advanced AIPerf features, see the complete benchmarking guide.