BentoML + AWS
by BentoML · open-source · Last verified 2026-03-17
BentoML's BentoCloud and open-source CLI enable one-command deployment of LLMs and ML models to AWS SageMaker, EC2, and ECS, packaging models with their inference code into reproducible Bento containers. The integration handles auto-scaling, batching, and traffic routing, letting ML teams ship from local to AWS production in minutes.
https://bentoml.com ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- containerization, sagemaker-deployment, auto-scaling, adaptive-batching, model-versioning
- Integrations
- aws-sagemaker, aws-ec2, aws-ecs, huggingface-hub
- Use Cases
- llm-serving-aws, ml-model-deployment, auto-scaling-inference, multi-model-endpoints
- API Available
- Yes
- Tags
- deployment, aws, sagemaker, mlops, model-serving
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
58.7Adoption
68
Quality
85
Freshness
88
Citations
58
Engagement
0
Put AI to work for your business
Deploy this integration alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.