NVIDIA Dynamo and vLLM Enable Scalable LLM Inference Across Multi-GPU Setups

NVIDIA Dynamo is an open-source inference framework designed to deploy large-scale generative AI models across multi-node, multi-GPU environments with high throughput and low latency. It supports both aggregated serving for single-GPU configurations and disaggregated serving, which separates prompt processing and response generation across different GPUs for independent optimization. The framework integrates with backends such as vLLM, SGLang, and NVIDIA TensorRT-LLM, using etcd for service discovery and NATS for inter-component message passing. A deployment guide covers infrastructure setup, container configuration via Docker Compose, and two serving patterns using vLLM as the inference backend. The setup requires a minimum of one GPU for aggregated serving and four GPUs for disaggregated serving, along with the NVIDIA Container Toolkit and Docker Engine.