Updates GKE installation tutorial

Author: Ralf Grubenmann

_posts/2018-09-10-tutorial.md

@@ -31,44 +31,33 @@ $ cd mlbench-helm
 
 ### Installing MLBench
 
-Copy the file `values.yaml` to the current directory, calling it `myvalues.yaml`.
+MLBench can be installed with the `google_cloud_setup.sh` script.
 
-```shell
-$ cp values.yaml myvalues.yaml
-```
-
-This file contains default values for most settings in mlbench. There are however some you need to set yourself to reasonable values for your cluster, namely:
-
-```yaml
-limits:
-  cpu: 1000m
-  workers: 3
-  bandwidth: 1000
-  gpu: 0
-```
-
-This limits the maximum usable resources (And the maximum you are able to chose in the UI) to 1 CPU (1000m = 1000 milli-CPUs) core , 0 GPUs, 1000 mbit/s network speed per node and 3 nodes total.
-
-*Note: ``n1-standard-2`` instances have 2 CPU cores. But due to Google Cloud Kubernetes running its own monitoring and management pods, which also use some CPU, it is advisable to set MLBench to use one core less than available*
-
-With those values set, MLBench can be installed with the `google_cloud_setup.sh` script (Run `google_cloud_setup.sh help` to see all available options).
+*Note: ``n1-standard-2`` instances have 2 CPU cores. But due to Google Cloud Kubernetes running its own monitoring and management pods, which also use some CPU, it is advisable to set MLBench to use one core less than available on the nodes*
 
 First, create a GKE cluster:
 
 ```shell
-$ NUM_NODES=4 ./google_cloud_setup.sh create-cluster
+$ NUM_NODES=4 NUM_CPUS=1 ./google_cloud_setup.sh create-cluster
 ```
 
 and then install the helm chart:
 
 ```shell
-$ ./google_cloud_setup.sh install-chart
+$ NUM_NODES=4 NUM_CPUS=1 ./google_cloud_setup.sh install-chart
 ```
 
 That's it, this should setup MLBench in your Google Kubernetes cluster. The Dashboard URL can be found in at the end of the output of the last command (e.g. `http://172.16.0.1:32145`).
 
 Simply open the URL in your browser and you should be ready to go.
 
+You can set many more options for the `google_cloud_setup.py` script, such as adding GPUs to the nodes or giving the cluster a custom name. To see all available options, execute
+the help command:
+
+```shell
+$ ./google_cloud_setup.sh help
+```
+
 ### Using MLBench
 Once you open the dashboard URL, you will be greeted by a screen similar to this