diff --git a/build-docker.sh b/build-docker.sh
index 002d56e85..cffc25fbc 100755
--- a/build-docker.sh
+++ b/build-docker.sh
@@ -7,7 +7,7 @@ set -x
 
 GPU=""
 BASE_IMAGE="ubuntu:focal"
-WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl"
+WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl"
 
 while [[ $# -gt 0 ]]
 do
diff --git a/ci/long_running_tests/ray-project/project.yaml b/ci/long_running_tests/ray-project/project.yaml
index 2ef049006..160e61a19 100644
--- a/ci/long_running_tests/ray-project/project.yaml
+++ b/ci/long_running_tests/ray-project/project.yaml
@@ -15,7 +15,7 @@ commands:
     params:
       - name: wheel
         help: "URL to the ray wheel to test (defaults to latest)."
-        default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+        default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
       - name: workload
         help: "Name of the workload to run."
         choices:
diff --git a/ci/microbenchmark/ray-project/project.yaml b/ci/microbenchmark/ray-project/project.yaml
index 90550e2ed..a76e3e3b9 100644
--- a/ci/microbenchmark/ray-project/project.yaml
+++ b/ci/microbenchmark/ray-project/project.yaml
@@ -17,7 +17,7 @@ commands:
       OMP_NUM_THREADS=64 ray microbenchmark
     params:
     - name: ray_version # Ray version string.
-      default: "1.0.0"
+      default: "0.9.0.dev0"
 
     - name: commit # Ray commit SHA string.
       default: "FILL ME IN"
diff --git a/doc/dev/bin/ray-project/project.yaml b/doc/dev/bin/ray-project/project.yaml
index dfc7b89a9..290018c95 100644
--- a/doc/dev/bin/ray-project/project.yaml
+++ b/doc/dev/bin/ray-project/project.yaml
@@ -19,7 +19,7 @@ commands:
       ./pip_download_test.sh
     params:
     - name: ray_version # Ray version string.
-      default: "1.0.0"
+      default: "0.9.0.dev0"
 
     - name: commit # Ray commit SHA string.
       default: "FILL ME IN"
diff --git a/doc/examples/newsreader/ray-project/cluster.yaml b/doc/examples/newsreader/ray-project/cluster.yaml
index c5017dc29..b7395951b 100644
--- a/doc/examples/newsreader/ray-project/cluster.yaml
+++ b/doc/examples/newsreader/ray-project/cluster.yaml
@@ -24,7 +24,7 @@ setup_commands:
   - echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
   - sudo apt -y update
   - sudo apt -y install npm
-  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+  - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
 
 # How Ray will authenticate with newly launched nodes.
 auth:
diff --git a/doc/source/development.rst b/doc/source/development.rst
index 26cc18315..85b050b03 100644
--- a/doc/source/development.rst
+++ b/doc/source/development.rst
@@ -23,7 +23,7 @@ RLlib, Tune, Autoscaler, and most Python files do not require you to build and c
 
 .. code-block:: shell
 
-    pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-manylinux1_x86_64.whl
+    pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
 
 2. Fork and clone the project to your machine. Connect your repository to the upstream (main project) ray repository.
 
diff --git a/doc/source/installation.rst b/doc/source/installation.rst
index 7e603ee22..f034eb0a5 100644
--- a/doc/source/installation.rst
+++ b/doc/source/installation.rst
@@ -51,17 +51,17 @@ instead of the ones above:
 `Linux Python 3.6`_  `MacOS Python 3.6`_  `Windows Python 3.6`_
 ===================  ===================  ======================
 
-.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-manylinux1_x86_64.whl
-.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
-.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
+.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
+.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
 
-.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-macosx_10_13_x86_64.whl
-.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-macosx_10_13_intel.whl
-.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-macosx_10_13_intel.whl
+.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
+.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
+.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
 
-.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-win_amd64.whl
-.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-win_amd64.whl
-.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-win_amd64.whl
+.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-win_amd64.whl
+.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-win_amd64.whl
+.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-win_amd64.whl
 
 
 Installing from a specific commit
@@ -73,7 +73,7 @@ You can install the Ray wheels of any particular commit on ``master`` with the f
 
     pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/{COMMIT_HASH}/ray-{RAY_VERSION}-{PYTHON_VERSION}-{PYTHON_VERSION}m-{OS_VERSION}_intel.whl
 
-For example, here are the Ray 1.0.0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
+For example, here are the Ray 0.9.0.dev0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
 
 .. code-block:: bash
 
diff --git a/python/ray/__init__.py b/python/ray/__init__.py
index 0dea67035..251a74536 100644
--- a/python/ray/__init__.py
+++ b/python/ray/__init__.py
@@ -95,7 +95,7 @@ from ray import util  # noqa: E402
 
 # Replaced with the current commit when building the wheels.
 __commit__ = "{{RAY_COMMIT_SHA}}"
-__version__ = "1.0.0"
+__version__ = "0.9.0.dev0"
 
 __all__ = [
     "__version__",
diff --git a/python/ray/autoscaler/aws/example-full.yaml b/python/ray/autoscaler/aws/example-full.yaml
index afb4cc312..de072d585 100644
--- a/python/ray/autoscaler/aws/example-full.yaml
+++ b/python/ray/autoscaler/aws/example-full.yaml
@@ -129,7 +129,7 @@ setup_commands:
     # has your Ray repo pre-cloned. Then, you can replace the pip installs
     # below with a git checkout <your_sha> (and possibly a recompile).
     - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     # Consider uncommenting these if you also want to run apt-get commands during setup
     # - sudo pkill -9 apt-get || true
     # - sudo pkill -9 dpkg || true
diff --git a/python/ray/autoscaler/aws/example-gpu-docker.yaml b/python/ray/autoscaler/aws/example-gpu-docker.yaml
index 950686792..07653e1ef 100644
--- a/python/ray/autoscaler/aws/example-gpu-docker.yaml
+++ b/python/ray/autoscaler/aws/example-gpu-docker.yaml
@@ -106,8 +106,8 @@ file_mounts: {
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
 # setup_commands:
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml
index 32f6dc55e..c42e4b476 100644
--- a/python/ray/autoscaler/azure/example-full.yaml
+++ b/python/ray/autoscaler/azure/example-full.yaml
@@ -126,7 +126,7 @@ setup_commands:
     # below with a git checkout <your_sha> (and possibly a recompile).
     # - echo 'conda activate py37_pytorch' >> ~/.bashrc
     - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
     # Consider uncommenting these if you also want to run apt-get commands during setup
     # - sudo pkill -9 apt-get || true
     # - sudo pkill -9 dpkg || true
diff --git a/python/ray/autoscaler/azure/example-gpu-docker.yaml b/python/ray/autoscaler/azure/example-gpu-docker.yaml
index 18d643370..6ed526b21 100644
--- a/python/ray/autoscaler/azure/example-gpu-docker.yaml
+++ b/python/ray/autoscaler/azure/example-gpu-docker.yaml
@@ -81,7 +81,7 @@ file_mounts: {
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
 # setup_commands:
-#     - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+#     - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
  
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
diff --git a/python/ray/autoscaler/azure/example-gpu.yaml b/python/ray/autoscaler/azure/example-gpu.yaml
index 0ae0fbc00..2a9d3016f 100644
--- a/python/ray/autoscaler/azure/example-gpu.yaml
+++ b/python/ray/autoscaler/azure/example-gpu.yaml
@@ -108,7 +108,7 @@ setup_commands:
     # below with a git checkout <your_sha> (and possibly a recompile).
     # - echo 'conda activate py37_pytorch' >> ~/.bashrc
     - echo 'conda activate py37_tensorflow' >> ~/.bashrc
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
     # Consider uncommenting these if you also want to run apt-get commands during setup
     # - sudo pkill -9 apt-get || true
     # - sudo pkill -9 dpkg || true
diff --git a/python/ray/autoscaler/gcp/example-full.yaml b/python/ray/autoscaler/gcp/example-full.yaml
index d923524b7..76c1454d1 100644
--- a/python/ray/autoscaler/gcp/example-full.yaml
+++ b/python/ray/autoscaler/gcp/example-full.yaml
@@ -140,7 +140,7 @@ setup_commands:
       && echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.profile
 
     # Install ray
-    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+    - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
 
 
 # Custom commands that will be run on the head node after common setup.
diff --git a/python/ray/autoscaler/gcp/example-gpu-docker.yaml b/python/ray/autoscaler/gcp/example-gpu-docker.yaml
index 364d0ab3e..27227470f 100644
--- a/python/ray/autoscaler/gcp/example-gpu-docker.yaml
+++ b/python/ray/autoscaler/gcp/example-gpu-docker.yaml
@@ -135,8 +135,8 @@ initialization_commands:
 # List of shell commands to run to set up nodes.
 # NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
 # setup_commands:
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
-    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
+    # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands:
diff --git a/python/ray/nightly-wheels.yaml b/python/ray/nightly-wheels.yaml
index 80ddd601e..3bc9d1a06 100644
--- a/python/ray/nightly-wheels.yaml
+++ b/python/ray/nightly-wheels.yaml
@@ -1,14 +1,14 @@
 linux:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-manylinux1_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-manylinux1_x86_64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
 
 darwin:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-macosx_10_13_x86_64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-macosx_10_13_intel.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-macosx_10_13_intel.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
 
 win32:
-  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp38-cp38-win_amd64.whl
-  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp37-cp37m-win_amd64.whl
-  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-win_amd64.whl
+  "3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-win_amd64.whl
+  "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-win_amd64.whl
+  "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-win_amd64.whl
diff --git a/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml b/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml
index e5ac96252..8692d4490 100644
--- a/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml
+++ b/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml
@@ -48,7 +48,7 @@ worker_nodes:
 
 setup_commands:
     - conda install setuptools=45.1.0=py36_0 wrapt=1.11.2 --yes # workaround to fix wrapt error
-    - ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     - pip install -U ray[tune]
     - pip install tensorflow-gpu==2.1.0
 
diff --git a/python/ray/util/sgd/torch/examples/example-sgd.yaml b/python/ray/util/sgd/torch/examples/example-sgd.yaml
index f6d6f6fe0..c72c16d1b 100644
--- a/python/ray/util/sgd/torch/examples/example-sgd.yaml
+++ b/python/ray/util/sgd/torch/examples/example-sgd.yaml
@@ -43,7 +43,7 @@ worker_nodes:
         #     MaxPrice: "9.0"
 
 setup_commands:
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     - pip install -U ipdb ray[rllib] torch torchvision
     # Install apex.
     # - rm -rf apex || true
diff --git a/python/ray/util/sgd/torch/examples/image_models/cluster.yaml b/python/ray/util/sgd/torch/examples/image_models/cluster.yaml
index 91bbcd515..c1b636a76 100644
--- a/python/ray/util/sgd/torch/examples/image_models/cluster.yaml
+++ b/python/ray/util/sgd/torch/examples/image_models/cluster.yaml
@@ -62,7 +62,7 @@ worker_nodes:
 
 setup_commands:
     # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     # Uncomment this and the filemount to update the Ray installation with your local Ray code
     # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
     # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
diff --git a/python/ray/util/sgd/torch/examples/segmentation/example.yaml b/python/ray/util/sgd/torch/examples/segmentation/example.yaml
index 6166810dc..0f206bc58 100644
--- a/python/ray/util/sgd/torch/examples/segmentation/example.yaml
+++ b/python/ray/util/sgd/torch/examples/segmentation/example.yaml
@@ -42,7 +42,7 @@ worker_nodes:
 
 setup_commands:
     # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     # Uncomment this and the filemount to update the Ray installation with your local Ray code
     # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
     # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
diff --git a/python/ray/util/sgd/torch/examples/sgd-development.yaml b/python/ray/util/sgd/torch/examples/sgd-development.yaml
index eb333461e..f4ff2ab8d 100644
--- a/python/ray/util/sgd/torch/examples/sgd-development.yaml
+++ b/python/ray/util/sgd/torch/examples/sgd-development.yaml
@@ -62,7 +62,7 @@ worker_nodes:
 
 setup_commands:
     # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     # Uncomment this and the filemount to update the Ray installation with your local Ray code
     # - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
     # - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/
diff --git a/python/ray/util/sgd/torch/examples/transformers/cluster.yaml b/python/ray/util/sgd/torch/examples/transformers/cluster.yaml
index 00a1468b7..59b3877cf 100644
--- a/python/ray/util/sgd/torch/examples/transformers/cluster.yaml
+++ b/python/ray/util/sgd/torch/examples/transformers/cluster.yaml
@@ -47,7 +47,7 @@ worker_nodes:
 
 setup_commands:
     # This replaces the standard anaconda Ray installation
-    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0-cp36-cp36m-manylinux1_x86_64.whl
+    - ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
     - pip install -q tqdm
 
     # Installing this without -U to make sure we don't replace the existing Ray installation
diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc
index a9ca05baa..3deffc3bf 100644
--- a/src/ray/core_worker/core_worker.cc
+++ b/src/ray/core_worker/core_worker.cc
@@ -136,7 +136,7 @@ CoreWorkerProcess::CoreWorkerProcess(const CoreWorkerOptions &options)
   RAY_LOG(DEBUG) << "Stats setup in core worker.";
   // Initialize stats in core worker global tags.
   const ray::stats::TagsType global_tags = {{ray::stats::ComponentKey, "core_worker"},
-                                            {ray::stats::VersionKey, "1.0.0"}};
+                                            {ray::stats::VersionKey, "0.9.0.dev0"}};
 
   // NOTE(lingxuan.zlx): We assume RayConfig is initialized before it's used.
   // RayConfig is generated in Java_io_ray_runtime_RayNativeRuntime_nativeInitialize
diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc
index 45dea9ae8..e4ee94fad 100644
--- a/src/ray/gcs/gcs_server/gcs_server_main.cc
+++ b/src/ray/gcs/gcs_server/gcs_server_main.cc
@@ -58,7 +58,7 @@ int main(int argc, char *argv[]) {
 
   RayConfig::instance().initialize(config_map);
   const ray::stats::TagsType global_tags = {{ray::stats::ComponentKey, "gcs_server"},
-                                            {ray::stats::VersionKey, "1.0.0"}};
+                                            {ray::stats::VersionKey, "0.9.0.dev0"}};
   ray::stats::Init(global_tags, metrics_agent_port);
 
   // IO Service for main loop.
diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc
index 6953348bf..f03a009fc 100644
--- a/src/ray/raylet/main.cc
+++ b/src/ray/raylet/main.cc
@@ -243,7 +243,7 @@ int main(int argc, char *argv[]) {
         // Initialize stats.
         const ray::stats::TagsType global_tags = {
             {ray::stats::ComponentKey, "raylet"},
-            {ray::stats::VersionKey, "1.0.0"},
+            {ray::stats::VersionKey, "0.9.0.dev0"},
             {ray::stats::NodeAddressKey, node_ip_address}};
         ray::stats::Init(global_tags, metrics_agent_port);