BentoML vs Triton Inference Server
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
BentoML
Framework for building and serving AI model APIs
VS
Triton Inference Server
High-performance inference serving for any model framework
| Feature | BentoML | Triton Inference Server |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 2,048 MB | 4,096 MB |
| Deployment | docker, kubernetes, source | docker, kubernetes |
| GitHub stars | ★ 8,768 | ★ 10,910 |
| First released | 2019 | 2018 |
| Replaces | Amazon SageMaker, Vertex AI | Amazon SageMaker |
Why pick each one
Choose BentoML if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 8.8k GitHub stars
Choose Triton Inference Server if…
- 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
Frequently asked questions
Is BentoML or Triton Inference Server better?
Neither is universally better. Triton Inference Server has the larger community, while BentoML is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are BentoML and Triton Inference Server free and open-source?
Yes. BentoML is licensed under Apache-2.0 and Triton Inference Server under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run BentoML and Triton Inference Server with Docker?
BentoML: yes. Triton Inference Server: yes.