This is an internal image, the rayproject/ray or rayproject/ray-ml should be used!

This has the python-level dependencies for Ray and the Ray Autoscaler. The ray image is built on top of this. This image is built periodically or when dependencies are added. Find the Dockerfile here.

• :latest - The most recent Ray release.
• :1.x.x - A specific release build.
• :nightly - The most recent nightly build.
• :DATE - A specific build.

• -gpu - These are based off of an NVIDIA CUDA image. They require the Nvidia Docker Runtime to be installed on the host for the container to access GPUs.
• -cpu- These are based off of an Ubuntu image.
• Tags without a suffix refer to -cpu images

• rayproject/ray - Ray and all of its dependencies.
• rayproject/ray-ml - This image with common ML libraries to make development & deployment more smooth!
  
  
  
  
• rayproject/base-deps - Internal image with system-level dependencies.