Updating README to remove old hyperpod commands

README.md

@@ -5,6 +5,8 @@ The Amazon SageMaker HyperPod command-line interface (HyperPod CLI) is a tool th
 
 This documentation serves as a reference for the available HyperPod CLI commands. For a comprehensive user guide, see [Orchestrating SageMaker HyperPod clusters with Amazon EKS](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-hyperpod-eks.html) in the *Amazon SageMaker Developer Guide*.
 
+Note: Old `hyperpod`CLI V2 has been moved to `release_v2` branch. Please refer [release_v2 branch](https://github.com/aws/sagemaker-hyperpod-cli/tree/release_v2) for usage.
+
 ## Table of Contents
 - [Overview](#overview)
 - [Prerequisites](#prerequisites)
@@ -72,27 +74,9 @@ SageMaker HyperPod CLI currently supports start training job with:
 1. Verify if the installation succeeded by running the following command.
 
     ```
-    hyperpod --help
+    hyp --help
     ```
 
-1. If you have a running HyperPod cluster, you can try to run a training job using the sample configuration file provided at ```/examples/basic-job-example-config.yaml```.
-    - Get your HyperPod clusters to show their capacities.
-      ```
-      hyperpod get-clusters
-      ```
-    - Get your HyperPod clusters to show their capacities and quota allocation info for a team.
-      ```
-      hyperpod get-clusters -n hyperpod-ns-<team-name>
-      ```
-    - Connect to one HyperPod cluster and specify a namespace you have access to.
-      ```
-      hyperpod connect-cluster --cluster-name <cluster-name>
-      ```
-    - Start a job in your cluster. Change the `instance_type` in the yaml file to be same as the one in your HyperPod cluster. Also change the `namespace` you want to submit a job to, the example uses kubeflow namespace. You need to have installed PyTorch in your cluster.
-      ```
-      hyperpod start-job --config-file ./examples/basic-job-example-config.yaml
-      ```
-
 ## Usage
 
 The HyperPod CLI provides the following commands: