Unleash Lightning-Fast AI Inference with NVIDIA Dynamo: Your Guide to High-Throughput, Low-Latency LLM Serving

Struggling with slow and inefficient AI inference? NVIDIA Dynamo is here to revolutionize how you serve generative AI and reasoning models. This open-source framework, designed for multi-node distributed environments, empowers you to achieve unparalleled throughput and low latency. Discover how Dynamo can transform your AI infrastructure.

What is NVIDIA Dynamo and Why Should You Care?

NVIDIA Dynamo is a cutting-edge inference framework meticulously crafted for serving generative AI and reasoning models with incredible speed and efficiency. Think of it as a supercharger for your LLM (Large Language Model) deployments, optimizing performance in distributed environments. It is inference engine agnostic, supporting TRT-LLM, vLLM, SGLang, and others. Maximize your GPU throughput with NVIDIA Dynamo.

Key Benefits of Dynamo: Turbocharging Your LLM Performance

• Disaggregated Prefill & Decode Inference: Maximize GPU throughput and fine-tune the balance between speed and responsiveness.
• Dynamic GPU Scheduling: Effortlessly adapt to fluctuating demands, ensuring optimal performance at all times.
• LLM-Aware Request Routing: Eliminate redundant KV cache re-computation, streamlining the inference process.
• Accelerated Data Transfer: Slash inference response times with NIXL, enabling lightning-fast communication.
• KV Cache Offloading: Exploit multiple memory hierarchies, dramatically increasing overall system throughput.

Get Started: Installing and Configuring NVIDIA Dynamo

Ready to experience the power of Dynamo? Here’s a quick guide to get you up and running:

1. System Requirements: Ubuntu 24.04 with an x86_64 CPU is recommended. Check support_matrix.md for complete details.
2. Install Packages:

   apt-get update
   DEBIAN_FRONTEND=noninteractive apt-get install -yq python3-dev python3-pip python3-venv libucx0
   python3 -m venv venv
   source venv/bin/activate
   pip install ai-dynamo[all]
   

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Building Your Dynamo Base Image for Kubernetes Deployment

For deploying your Dynamo pipelines to Kubernetes, you'll need to build and push a Dynamo base image to your container registry (Docker Hub, NVIDIA NGC, or a private registry).

1. Build the Image:

   ./container/build.sh
   docker tag dynamo:latest-vllm <your-registry>/dynamo-base:latest-vllm
   docker login <your-registry>
   docker push <your-registry>/dynamo-base:latest-vllm
   

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2. Set the Environment Variable:

   export DYNAMO_IMAGE=<your-registry>/dynamo-base:latest-vllm
   

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Running and Interacting with LLMs Locally Using NVIDIA Dynamo

Experiment with models locally using the dynamo run command, supporting backends like mistralrs, sglang, vllm, and tensorrtllm.

Example Command:

dynamo run out=vllm deepseek-ai/DeepSeek-R1-Distill-Llama-8B

LLM Serving Made Easy: Dynamo's Streamlined Approach

Dynamo simplifies LLM serving with these built-in components:

• OpenAI Compatible Frontend: A high-performance HTTP API server written in Rust.
• Basic and KV Aware Router: Intelligently route and load balance traffic to your workers.
• Workers: A set of pre-configured LLM serving engines ready to go.

Deploying a Minimal Configuration: A Hands-On Example

1. Start Dynamo Distributed Runtime Services:

   docker compose -f deploy/docker-compose.yml up -d
   

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2. Serve LLM Components:

   cd examples/llm
   dynamo serve graphs.agg:Frontend -f configs/agg.yaml
   

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3. Send a Request:

   curl localhost:8000/v1/chat/completions -H "Content-Type: application/json" -d '{"model": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B", "messages": [{"role": "user", "content": "Hello, how are you?"}], "stream":false, "max_tokens": 300}' | jq
   

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Local Development: Your Sandbox for Innovation

For VS Code or Cursor users, a .devcontainer folder is included. Alternatively, develop directly within the container:

./container/build.sh
./container/run.sh -it --mount-workspace
cargo build --release
mkdir -p /workspace/deploy/dynamo/sdk/src/dynamo/sdk/cli/bin
cp /workspace/target/release/http /workspace/deploy/dynamo/sdk/src/dynamo/sdk/cli/bin
cp /workspace/target/release/llmctl /workspace/deploy/dynamo/sdk/src/dynamo/sdk/cli/bin
cp /workspace/target/release/dynamo-run /workspace/deploy/dynamo/sdk/src/dynamo/sdk/cli/bin
uv pip install -e.

Embrace the Future of AI Inference

NVIDIA Dynamo offers a powerful, flexible, and open-source solution for tackling the challenges of modern AI inference. By leveraging its innovative features and streamlined deployment process, you can unlock unprecedented performance and efficiency in your LLM deployments. Start exploring Dynamo today and experience the difference!