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How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale

NVIDIA Technical Blog·Amr Elmeleegy·about 1 month ago
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Reasoning models are growing rapidly in size and are increasingly being integrated into agentic AI workflows that interact with other models and external tools. Deploying these models and workflows in production environments requires distributing them across multiple GPU nodes, which demands careful orchestration and coordination across GPUs. NVIDIA Dynamo 1.0—available now—addresses these problems by accelerating generative AI and reasoning models in large-scale distributed environments. The AI framework delivers low-latency, high-throughput, distributed inference for production-grade multi-node AI deployments.  Dynamo supports leading open source inference engines, including SGLang, NVIDIA TensorRT LLM, and vLLM. It also has delivered strong results in trusted third-party benchmarks such as MLPerf and SemiAnalysis InferenceX , reinforcing its position as a production-grade inference platform.…

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