docs: add instructions on deploying determined via HPE MLDES [SAAS-18…

…77] (#9105)

docs/setup-cluster/_index.rst

@@ -49,6 +49,8 @@ resources. Compatible with on-prem clusters and cloud auto-scaling (AWS and GCP)
 
 -  :ref:`topic_guide_gcp`
 
+-  :ref:`topic_guide_mldes`
+
 ************
  Kubernetes
 ************
@@ -80,6 +82,7 @@ Enable Determined to submit jobs to a Slurm cluster.
 
    Quick Installation <../get-started/basic>
    Advanced Installation <checklists/_index>
+   Deploy via MLDES <mldes/_index>
    Deploy on Prem <on-prem/_index>
    Deploy on AWS <aws/_index>
    Deploy on GCP <gcp/_index>

docs/setup-cluster/mldes/_index.rst

@@ -0,0 +1,58 @@
+.. _topic_guide_mldes:
+
+############################################################################################
+ Deploy Using HPE Machine Learning Development Environment Software (MLDES) Managed Service
+############################################################################################
+
+.. attention::
+
+   MLDES only supports Determined Enterprise Edition.
+
+**********
+ Overview
+**********
+
+You can deploy a Determined cluster using `MLDES <https://mldes.ext.hpe.com/docs/index.html>`__.
+MLDES is a managed service that simplifies the infrastructure management complexities. It offers an
+intuitive interface for deploying, managing, and utilizing Determined clusters.
+
+***************
+ Prerequisites
+***************
+
+MLDES supports both AWS and GCP as backends for Determined cluster resources. To start, ensure you
+have an AWS account with the required IAM roles or a GCP project ID. For more information, visit the
+`documentation <https://mldes.ext.hpe.com/docs/index.html>`__.
+
+******************
+ Deployment Guide
+******************
+
+Access the Console
+==================
+
+#. Visit the `MLDES console <https://mldes.ext.hpe.com>`_.
+#. Sign in using your HPE Passport account.
+
+Create an Organization
+======================
+
+#. Select **Organization** to open the Organizations panel and create a new organization.
+#. Enter a unique name and select **Save**.
+
+Deploy the Cluster
+==================
+
+#. Select **Clusters** to open the Clusters panel.
+#. Select **New MLDE Cluster** to start creating a new cluster.
+#. Enter a unique name.
+#. Review the default cluster and resource pool configuration and make any necessary changes.
+#. Select **Create Cluster**.
+
+MLDE provisions the cluster and lets you know when it is ready.
+
+Create and Manage Experiments
+=============================
+
+#. Once the cluster is ready, select **Open**.
+#. To open a Jupyter notebook, **Launch JupyterLab**.