Triton Inference Server
High-performance inference serving for any model framework
Triton Inference Server is an open-source serving system from NVIDIA that runs models from TensorFlow, PyTorch, ONNX, TensorRT, and more. It supports concurrent execution, dynamic batching, and CPU or GPU deployment.
Key features
- Multi-framework model serving
- Dynamic request batching
- Concurrent model execution
- GPU and CPU support
Strengths
- Released under the BSD-3-Clause license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 10.9k GitHub stars
Triton Inference Server replaces
Compare Triton Inference Server
11 head-to-head comparisons.
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