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bentoml/yatai-service

By bentoml

•Updated about 4 years ago

YataiService - ML model management and deployment automation component in BentoML

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bentoml/yatai-service repository overview

⁠BentoML Yatai Release Docker Image

This repo is for Yatai in BentoML 0.13.x, for BentoML 1.0 and above, use the new Yatai project: https://github.com/bentoml/yatai⁠

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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 more⁠
  • Cloud native deployment with Docker, Kubernetes, AWS, Azure and many more⁠
  • 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!⁠

šŸ’» Get started with BentoML: Quickstart Guide⁠ | Quickstart on Google Colab⁠

šŸ‘©ā€šŸ’» Star/Watch/Fork the BentoML Github Repository⁠.

šŸ‘‰ Join the community Slack⁠ and discussions on Github⁠.

Tag summary

Content type

Image

Digest

Size

552.5 MB

Last updated

about 4 years ago

docker pull bentoml/yatai-service