diff --git a/python/ray/autoscaler/aws/example-full.yaml b/python/ray/autoscaler/aws/example-full.yaml index 69825d7f8..f75e1ce88 100644 --- a/python/ray/autoscaler/aws/example-full.yaml +++ b/python/ray/autoscaler/aws/example-full.yaml @@ -23,7 +23,7 @@ autoscaling_mode: default # and opens all the necessary ports to support the Ray cluster. # Empty string means disabled. docker: - image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup + image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup container_name: "ray_container" # If true, pulls latest version of image. Otherwise, `docker run` will only pull the image # if no cached version is present. diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml index 33c9cc91f..36c0a0dc5 100644 --- a/python/ray/autoscaler/azure/example-full.yaml +++ b/python/ray/autoscaler/azure/example-full.yaml @@ -23,7 +23,7 @@ autoscaling_mode: default # and opens all the necessary ports to support the Ray cluster. # Empty string means disabled. docker: - image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup + image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup container_name: "ray_container" # If true, pulls latest version of image. Otherwise, `docker run` will only pull the image # if no cached version is present. diff --git a/python/ray/autoscaler/gcp/example-full.yaml b/python/ray/autoscaler/gcp/example-full.yaml index f91e36d57..ef21fd27a 100644 --- a/python/ray/autoscaler/gcp/example-full.yaml +++ b/python/ray/autoscaler/gcp/example-full.yaml @@ -23,7 +23,7 @@ autoscaling_mode: default # and opens all the necessary ports to support the Ray cluster. # Empty string means disabled. docker: - image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup + image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup container_name: "ray_container" # If true, pulls latest version of image. Otherwise, `docker run` will only pull the image # if no cached version is present. diff --git a/python/ray/autoscaler/local/example-full.yaml b/python/ray/autoscaler/local/example-full.yaml index 667b26453..8213fbce3 100644 --- a/python/ray/autoscaler/local/example-full.yaml +++ b/python/ray/autoscaler/local/example-full.yaml @@ -26,7 +26,7 @@ idle_timeout_minutes: 5 # and opens all the necessary ports to support the Ray cluster. # Empty string means disabled. Assumes Docker is installed. docker: - image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup + image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup container_name: "ray_container" # If true, pulls latest version of image. Otherwise, `docker run` will only pull the image # if no cached version is present.