ray/docker/ray

About

Default docker images for Ray! This includes everything needed to get started with running Ray! They work for both local development and are ideal for use with the Ray Cluster Launcher. Find the Dockerfile here.

Tags

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

Suffixes

• -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

Other Images

• rayproject/ray-ml - This image with common ML libraries to make development & deployment more smooth!