NVIDIA Triton vs. Seldon Core
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 NVIDIA Triton | N/A | 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 |
 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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