Unleash Lightning-Fast AI: Introducing NVIDIA Dynamo for LLM Serving

Tired of sluggish Large Language Model (LLM) inference? NVIDIA Dynamo revolutionizes LLM serving, delivering high-throughput, low-latency performance for generative AI and reasoning models. Designed for multi-node, distributed environments, Dynamo is the key to unlocking the true potential of your AI applications.

Why Choose NVIDIA Dynamo for LLM Inference?

NVIDIA Dynamo is more than just an inference framework; it's a comprehensive solution engineered to maximize efficiency and scalability. Built with Rust for performance and Python for extensibility, Dynamo is open-source, transparent, and driven by community collaboration.

Here's how Dynamo supercharges your LLM serving:

• Disaggregated Prefill & Decode: Maximize GPU throughput and fine-tune the balance between throughput and latency.
• Dynamic GPU Scheduling: Optimizes performance dynamically based on real-time demand fluctuations.
• LLM-Aware Request Routing: Eliminates redundant KV cache re-computation for improved efficiency.
• Accelerated Data Transfer (NIXL): Significantly reduces inference response times.
• KV Cache Offloading: Leverages multiple memory hierarchies for higher system throughput and scalability.

Getting Started with NVIDIA Dynamo

Ready to experience the power of Dynamo? Here's a quick guide to get you started:

1. Installation (Ubuntu 24.04 x86_64 Recommended):

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]

2. Building the Dynamo Base Image (for Kubernetes Deployments):

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

3. Running an LLM Locally:

Use the dynamo run command to interact with a Hugging Face model. Dynamo supports various backends including mistralrs, sglang, vllm, and tensorrtllm.

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

Unleash the Power of LLM Serving

NVIDIA Dynamo offers a simplified way to spin up local inference components:

• OpenAI Compatible Frontend: A high-performance HTTP API server built in Rust.
• Basic and KV Aware Router: Routes and load balances traffic effectively.
• Workers: Pre-configured LLM serving engines ready to go.

Start Dynamo Distributed Runtime Services:

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

Serve a Minimal Configuration:

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

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

Optimizing LLM Performance with NVIDIA Dynamo

NVIDIA Dynamo is designed to optimize LLM inference at every level. Its features, such as disaggregated prefill and decode, directly address the challenges of serving large models efficiently. These enhancements help you achieve the best possible performance and scalability for your AI applications.

Ready to revolutionize your LLM serving?

NVIDIA Dynamo offers a powerful, flexible, and open-source solution for high-performance LLM inference. Download the latest version today and experience the future of AI.