NVIDIA Dynamo vs. Seldon Core
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 NVIDIA Dynamo | N/A | 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 |
 Seldon Core | N/A | N/A | Seldon Core is a Kubernetes-native AI Model Serving & Inference runtime. It loads trained machine learning (ML) and large language model (LLM) weights onto inference servers, exposes REST and gRPC endpoints, and executes those models in production so applications can obtain predictions or generated tokens at scale. The current architecture (Core 2) is bring-your-own-weights serving software that the operator runs on a cluster; it is not a hosted model-lab API and not a training platform. | 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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