NVIDIA Dynamo vs. NVIDIA Triton
NVIDIA Dynamo vs. NVIDIA Triton
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 NVIDIA Dynamo | N/A | NVIDIA Dynamo is open-source AI Model Serving & Inference software for multi-GPU and multi-node large language model (LLM) inference. It is the orchestration layer above inference engines: it does not replace SGLang, NVIDIA TensorRT-LLM, or vLLM. It coordinates those engines into one cluster that loads trained weights, runs prefill and decode, and returns tokens through an OpenAI-compatible HTTP API. A single model on a single GPU does not need Dynamo; the engine alone is enough. | N/A | |
NVIDIA Triton | N/A | NVIDIA Triton Inference Server (Triton) is open-source AI Model Serving & Inference software. It loads trained models from a model repository, runs them on GPU, CPU, or other accelerators, and returns predictions or generated tokens over HTTP/REST and gRPC. Triton is a general inference server: one process can host many models, many frameworks, and multi-step ensembles. It is not a hosted model catalog (that is NVIDIA NIM) and not a multi-node LLM disaggregation fabric (that is NVIDIA Dynamo). | N/A |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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