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# TME Cube Studio
TME Cube Studio是由TME研发的一站式容器化的数据处理、模型训练、模型评估、模型在线预测的全流程开发和部署服务，支持TensorFlow、PyTorch多种框架，GPU多机多卡分布式训练，自定义训练Pipeline构建等功能, 提升算法迭代效率和模型共享度.
# 部署产品形态
![image](https://user-images.githubusercontent.com/1631662/138237773-a7e1f7a6-5d12-4f29-a8cb-006396a95bbb.png)
用户可以使用 https://github.com/tencentmusic/cube-job-template 中预先开发的组件, 或者通过自己制作镜像在平台上进行调用.
# 生产部署
基础环境依赖