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Triton Inference Server

Free

Production inference server for ML and LLM models at scale.

Open SourceAPISelf-hostedEnterprisePython SDKC++ SDK

Tool Info

Categories
Serving · Deployment
Official Website
developer.nvidia.com/triton-inference-server
Repository
triton-inference-server/server
Official Docs

Overview

Triton Inference Server deploys ML and LLM models in production environments.

Supports TensorRT, ONNX, PyTorch, and more backends.

Pricing

Free tier available
Free (open source)

Pros

  • Battle-tested at scale
  • Multi-framework
  • Dynamic batching

Best For

Multi-model servingGPU cluster inferenceEnterprise ML ops

When NOT to Use

  • Heavy ops overhead
  • NVIDIA-optimized

Related Tools

Ollama
Local model runner with simple command and HTTP interface.
vLLM
High-throughput LLM inference engine with PagedAttention.
LM Studio
Desktop app for running local LLMs with a chat interface.

Alternatives

vLLM
High-throughput LLM inference engine with PagedAttention.
Ray Serve
Scalable model serving library built on the Ray distributed framework.

Often Compared With

vLLM
High-throughput LLM inference engine with PagedAttention.
Ray Serve
Scalable model serving library built on the Ray distributed framework.

Compare With

Compare with vLLMCompare with Ray Serve

Tags

#inference#serving#production

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