KServe vs. NVIDIA Triton
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 KServe | N/A | N/A | KServe is open-source AI Model Serving & Inference software for Kubernetes. Operators declare an InferenceService (and optional InferenceGraph) as custom resources. KServe then loads trained models from object storage or Hugging Face, starts a pluggable serving runtime, and exposes prediction or token APIs. It is a control plane for serving, not a training platform and not a hosted model catalog. | N/A |
 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 |
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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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