diff --git a/ci/long_running_tests/.gitignore b/ci/long_running_tests/.gitignore
new file mode 100644
index 000000000..573e4c209
--- /dev/null
+++ b/ci/long_running_tests/.gitignore
@@ -0,0 +1 @@
+config_temporary.yaml
diff --git a/ci/long_running_tests/config.yaml b/ci/long_running_tests/config.yaml
index e623d4ea6..fd6722951 100644
--- a/ci/long_running_tests/config.yaml
+++ b/ci/long_running_tests/config.yaml
@@ -14,23 +14,19 @@ auth:
 
 head_node:
     InstanceType: m5.xlarge
-    ImageId: ami-0def3275  # Default Ubuntu 16.04 AMI.
-
-    # Set primary volume to 25 GiB
+    ImageId: ami-0888a3b5189309429  # DLAMI 7/1/19
     BlockDeviceMappings:
         - DeviceName: /dev/sda1
           Ebs:
-              VolumeSize: 50
+              VolumeSize: 150
 
 worker_nodes:
     InstanceType: m5.large
-    ImageId: ami-0def3275  # Default Ubuntu 16.04 AMI.
-
-    # Set primary volume to 25 GiB
+    ImageId: ami-0888a3b5189309429  # DLAMI 7/1/19
     BlockDeviceMappings:
         - DeviceName: /dev/sda1
           Ebs:
-              VolumeSize: 50
+              VolumeSize: 150
 
     # Run workers on spot by default. Comment this out to use on-demand.
     InstanceMarketOptions:
@@ -38,24 +34,15 @@ worker_nodes:
 
 # List of shell commands to run to set up nodes.
 setup_commands:
-    - sudo apt-get update
-    - sudo apt-get install -y build-essential curl unzip
-    # Install Anaconda.
-    - wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh || true
-    - bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p $HOME/anaconda3 || true
-    - echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
-    - echo 'termcapinfo xterm* ti@:te@' >> ~/.screenrc
-    # Some Python dependencies.
-    - pip install boto3==1.4.8 cython==0.29.0
-    # Uncomment the following if you wish to install Ray instead.
+    # Install nightly Ray wheels.
+    - source activate tensorflow_p36 && pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/<<<RAY_BRANCH>>>/<<<RAY_COMMIT>>>/ray-<<<RAY_VERSION>>>-cp36-cp36m-manylinux1_x86_64.whl
+    - source activate tensorflow_p36 && pip install ray[rllib] ray[debug] gym[atari]
+    # Uncomment the following if you wish to build Ray instead.
+    # - sudo apt-get update
+    # - sudo apt-get install -y build-essential curl unzip
     # - git clone https://github.com/ray-project/ray || true
     # - ray/ci/travis/install-bazel.sh
-    # - cd ray/python; git checkout master; git pull; pip install -e . --verbose
-    # Install nightly Ray wheels.
-    - wget https://s3-us-west-2.amazonaws.com/ray-wheels/<<<RAY_BRANCH>>>/<<<RAY_COMMIT>>>/ray-<<<RAY_VERSION>>>-cp36-cp36m-manylinux1_x86_64.whl
-    - pip install ray-<<<RAY_VERSION>>>-cp36-cp36m-manylinux1_x86_64.whl[rllib,debug]
-    - pip install tensorflow
-    - pip install -U dask  # fix error importing lz4
+    # - cd ray/python; git checkout master; git pull; source activate tensorflow_p36 && pip install -e . --verbose
 
 # Custom commands that will be run on the head node after common setup.
 head_setup_commands: []
diff --git a/ci/long_running_tests/start_workloads.sh b/ci/long_running_tests/start_workloads.sh
index 1dda7f6d6..fde3db30f 100755
--- a/ci/long_running_tests/start_workloads.sh
+++ b/ci/long_running_tests/start_workloads.sh
@@ -57,7 +57,7 @@ for workload_file in "$ROOT_DIR"/workloads/*; do
       # Clean up previous runs if relevant.
       ray exec $CLUSTER_CONFIG --cluster-name="$workload_name" "ray stop; rm -r /tmp/ray; tmux kill-server | true"
       # Start the workload.
-      ray exec $CLUSTER_CONFIG --cluster-name="$workload_name" "python $file_name" --tmux
+      ray exec $CLUSTER_CONFIG --cluster-name="$workload_name" "source activate tensorflow_p36 && python $file_name" --tmux
    ) &
 done
 # Wait for child processes to finish.
@@ -70,17 +70,6 @@ popd
 echo ""
 echo ""
 
-echo "To kill the instances, use the following commands."
-echo ""
-for workload_file in "$ROOT_DIR"/workloads/*; do
-  file_name=$(basename -- "$workload_file")
-  workload_name="${file_name%.*}"
-  echo "    ray down -y $ROOT_DIR/$CLUSTER_CONFIG --cluster-name=$workload_name"
-done
-
-echo ""
-echo ""
-
 echo "Use the following commands to attach to the relevant drivers."
 echo ""
 for workload_file in "$ROOT_DIR"/workloads/*; do
diff --git a/python/ray/autoscaler/updater.py b/python/ray/autoscaler/updater.py
index d42bf041a..5c344ad31 100644
--- a/python/ray/autoscaler/updater.py
+++ b/python/ray/autoscaler/updater.py
@@ -226,15 +226,13 @@ class NodeUpdater(object):
 
         m = "{}: Initialization commands completed".format(self.node_id)
         with LogTimer("NodeUpdater: {}".format(m)):
-            with open("/dev/null", "w") as redirect:
-                for cmd in self.initialization_commands:
-                    self.ssh_cmd(cmd, redirect=redirect)
+            for cmd in self.initialization_commands:
+                self.ssh_cmd(cmd)
 
         m = "{}: Setup commands completed".format(self.node_id)
         with LogTimer("NodeUpdater: {}".format(m)):
-            with open("/dev/null", "w") as redirect:
-                for cmd in self.setup_commands:
-                    self.ssh_cmd(cmd, redirect=redirect)
+            for cmd in self.setup_commands:
+                self.ssh_cmd(cmd)
 
     def rsync_up(self, source, target, redirect=None, check_error=True):
         logger.info("NodeUpdater: "