triton-inference-server
An open-source inference serving platform for deploying AI models from multiple frameworks across cloud, data center, and edge devices.
What is triton-inference-server?
Triton Inference Server is an open-source inference serving platform that simplifies the deployment of AI models from various frameworks like TensorRT, PyTorch, and ONNX. It solves the problem of managing and scaling AI inference across different hardware, including GPUs, CPUs, and specialized accelerators, by providing a unified serving layer with performance optimizations.
ML engineers, data scientists, and DevOps teams who need to deploy, manage, and scale production AI models across cloud, data center, or edge environments.
Developers choose Triton for its extensive framework support, hardware flexibility, and built-in optimizations like dynamic batching and concurrent execution, which reduce latency and improve throughput compared to custom serving solutions.
Overview
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Use Cases
Best For
- Deploying multi-framework AI models in a unified serving layer
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