aarnphm/yatai-service repository overview
ā BentoML
BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.
- Supports Multiple ML frameworks, including Tensorflow, PyTorch, Keras, XGBoost and moreā
- Cloud native deployment with Docker, Kubernetes, AWS, Azure and many moreā
- High-Performance online API serving and offline batch serving
- Web dashboards and APIs for model registry and deployment management
BentoML bridges the gap between Data Science and DevOps. By providing a standard interface for describing a prediction service, BentoML abstracts away how to run model inference efficiently and how model serving workloads can integrate with cloud infrastructures. See how it works!ā
š» Get started with BentoML: Quickstart Guideā | Quickstart on Google Colabā
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ā Announcement
The latest tag for yatai-service is still available with regarding the current changes to our Docker management. Please report any issuesā if occurs.
ā Overview of Images Types
runtime: Includes BentoML latest PyPI releases foryatai-service.
ā Notes
In order to run CUDA-enabled images nvidia-docker2 is required. Refers to BentoML's GPU Serving guidesā on how to use BentoML's CUDA images.
ā Latest tags for yatai-service 0.13.0
ā Debian10
ā Centos8
WARNING: POSSIBLE MISSING IMAGE TAGS
Centos upstream images often fail security scans, thus there might be some images missing. Please refers to Issues sectionā for security notices.
0.13.0-python3.6-centos8-runtimeā0.13.0-python3.7-centos8-runtimeā0.13.0-python3.8-centos8-runtimeā
ā Centos7
WARNING: POSSIBLE MISSING IMAGE TAGS
Centos upstream images often fail security scans, thus there might be some images missing. Please refers to Issues sectionā for security notices.
Tag summary
Content type
Image
Digest
Size
404.2 MB
Last updated
about 5 years ago
docker pull aarnphm/yatai-service