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 11.1k GitHub stars
Is Triton Inference Server secure?
No known vulnerabilities affect Triton Inference Server's latest release (v2.73.0). OSV.dev lists 1 past advisory for the project; none of them applies to this release. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.
- Most recent fixed advisory CVE-2023-31036, published 2024-01-12 (1006 days ago)
Source: OSV.dev, checked 2026-10-14. How this is measured.
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