What role does NVIDIA Triton play in LLM serving?
mediumAnswer
- Triton Inference Server is a generic model server: HTTP / gRPC front-end, multi-model support, dynamic batching, model versioning, ensemble models (chain inputs across models).
- Often wraps a TensorRT-LLM or ONNX runtime backend.
- Handles the productization concerns (rate limiting, health checks, GPU sharing between models) that vLLM / TGI don't focus on.
- Combined with TensorRT-LLM, common enterprise stack.
- Cloud alternatives: SageMaker LMI, Vertex AI, Bedrock — abstract this away.
Check yourself — multiple choice
- Same as vLLM
- Generic multi-model server (HTTP / gRPC) with dynamic batching, versioning, ensembles — wraps TRT-LLM / ONNX for enterprise
- Only for training
- Not used in prod
Triton: multi-model server for enterprise deployments, wraps TRT-LLM / ONNX.
#serving#production#inference
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