This is an internal image, the rayproject/ray
or rayproject/ray-ml
should be used!
This image has the system-level dependencies for Ray
and the Ray Autoscaler
. The ray-deps
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.-cpu
imagesrayproject/ray
- Ray and all of its dependencies.rayproject/ray-ml
- This image with common ML libraries to make development & deployment more smooth!
rayproject/ray-deps
- Internal image with python-level dependencies.