diff --git a/doc.zih.tu-dresden.de/docs/archive/power_ai.md b/doc.zih.tu-dresden.de/docs/archive/power_ai.md
deleted file mode 100644
index dc0fa59b3fc53e180bd620dde71df5597c33298f..0000000000000000000000000000000000000000
--- a/doc.zih.tu-dresden.de/docs/archive/power_ai.md
+++ /dev/null
@@ -1,82 +0,0 @@
-# PowerAI Documentation Links
-
-There are different documentation sources for users to learn more about
-the PowerAI Framework for Machine Learning. In the following the links
-are valid for PowerAI version 1.5.4
-
-## General Overview:
-
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/en/SS5SF7_1.5.3/welcome/welcome.htm>"
- target="\_blank" title="Landing Page">Landing Page\</a> (note that
- you can select different PowerAI versions with the drop down menu
- "Change Product or version")
-- \<a
- href="<https://developer.ibm.com/linuxonpower/deep-learning-powerai/>"
- target="\_blank" title="PowerAI Developer Portal">PowerAI Developer
- Portal \</a>(Some Use Cases and examples)
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/en/SS5SF7_1.5.4/navigation/pai_software_pkgs.html>"
- target="\_blank" title="Included Software Packages">Included
- Software Packages\</a> (note that you can select different PowerAI
- versions with the drop down menu "Change Product or version")
-
-## Specific User Howtos. Getting started with...:
-
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted.htm>"
- target="\_blank" title="Getting Started with PowerAI">PowerAI\</a>
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_caffe.html>"
- target="\_blank" title="Caffe">Caffe\</a>
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorflow.html?view=kc>"
- target="\_blank" title="Tensorflow">TensorFlow\</a>
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorflow_prob.html?view=kc>"
- target="\_blank" title="Tensorflow Probability">TensorFlow
- Probability\</a>\<br />This release of PowerAI includes TensorFlow
- Probability. TensorFlow Probability is a library for probabilistic
- reasoning and statistical analysis in TensorFlow.
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorboard.html?view=kc>"
- target="\_blank" title="Tensorboard">TensorBoard\</a>
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_snapml.html>"
- target="\_blank">Snap ML\</a>\<br />This release of PowerAI includes
- Snap Machine Learning (Snap ML). Snap ML is a library for training
- generalized linear models. It is being developed at IBM with the
- vision to remove training time as a bottleneck for machine learning
- applications. Snap ML supports many classical machine learning
- models and scales gracefully to data sets with billions of examples
- or features. It also offers distributed training, GPU acceleration,
- and supports sparse data structures.
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_pytorch.html>"
- target="\_blank">PyTorch\</a>\<br />This release of PowerAI includes
- the community development preview of PyTorch 1.0 (rc1). PowerAI's
- PyTorch includes support for IBM's Distributed Deep Learning (DDL)
- and Large Model Support (LMS).
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_caffe2ONNX.html>"
- target="\_blank">Caffe2 and ONNX\</a>\<br />This release of PowerAI
- includes a Technology Preview of Caffe2 and ONNX. Caffe2 is a
- companion to PyTorch. PyTorch is great for experimentation and rapid
- development, while Caffe2 is aimed at production environments. ONNX
- (Open Neural Network Exchange) provides support for moving models
- between those frameworks.
-- \<a
- href="<https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_ddl.html?view=kc>"
- target="\_blank" title="Distributed Deep Learning">Distributed Deep
- Learning\</a> (DDL). \<br />Works up to 4 TaurusML worker nodes.
- (Larger models with more nodes are possible with PowerAI Enterprise)
-
-## PowerAI Container
-
-We have converted the official Docker container to Singularity. Here is
-a documentation about the Docker base container, including a table with
-the individual software versions of the packages installed within the
-container:
-
-- \<a href="<https://hub.docker.com/r/ibmcom/powerai/>"
- target="\_blank">PowerAI Docker Container Docu\</a>
diff --git a/doc.zih.tu-dresden.de/docs/software/machine_learning.md b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
index 85a784103d12604afc4126d2b322255a783db2ec..3e439a0ffa086b0220bb5e7ca1e23552a04742eb 100644
--- a/doc.zih.tu-dresden.de/docs/software/machine_learning.md
+++ b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
@@ -14,19 +14,25 @@ The main feature of the nodes is the ability to work with the
support that allows a total bandwidth with up to 300 gigabytes per second (GB/sec). Each node on the
ml partition has 6x Tesla V-100 GPUs. You can find a detailed specification of the partition [here](../jobs_and_resources/power9.md).
-**Note:** The ML partition is based on the Power9 architecture, which means that the software built
-for x86_64 will not work on this partition. Also, users need to use the modules which are
-specially made for the ml partition (from modenv/ml).
+!!! note
+ The ML partition is based on the Power9 architecture, which means that the software built
+ for `x86_64` will not work on this partition. Also, users need to use the modules which are
+ specially made for the `ml` partition (from `modenv/ml`).
### Modules
-On the **ML** partition load the module environment:
+On the `ml` partition load the module environment:
```console
marie@login$ srun -p ml --gres=gpu:1 -n 1 -c 7 --pty --mem-per-cpu=8000 bash #Job submission in ml nodes with 1 gpu on 1 node with 8000 Mb per CPU
marie@ml$ module load modenv/ml #example output: The following have been reloaded with a version change: 1) modenv/scs5 => modenv/ml
```
+### Power AI
+
+There are tools provided by IBM, that work on `ml` partition and are related to AI tasks.
+For more information see [here](power_ai.md).
+
## Alpha partition
Another partition for machine learning tasks is Alpha. It is mainly dedicated to [ScaDS.AI](https://scads.ai/)
@@ -58,7 +64,7 @@ For more details on machine learning or data science with Python see [here](data
### R
R also supports machine learning via console. It does not require a virtual environment due to a
-different package managment.
+different package management.
For more details on machine learning or data science with R see [here](../data_analytics_with_r/#r-console).
diff --git a/doc.zih.tu-dresden.de/docs/software/power_ai.md b/doc.zih.tu-dresden.de/docs/software/power_ai.md
new file mode 100644
index 0000000000000000000000000000000000000000..f5d3c136ffcb4e761d20badefb59afda996775a5
--- /dev/null
+++ b/doc.zih.tu-dresden.de/docs/software/power_ai.md
@@ -0,0 +1,57 @@
+# PowerAI Documentation Links
+
+There are different documentation sources for users to learn more about
+the PowerAI Framework for Machine Learning. In the following the links
+are valid for PowerAI version 1.5.4.
+
+!!! warning
+ The information provided here is available from IBM and can be used on `ml` partition only!
+
+## General Overview
+
+- [PowerAI Introduction](https://www.ibm.com/support/knowledgecenter/en/SS5SF7_1.5.3/welcome/welcome.htm)
+ (note that you can select different PowerAI versions with the drop down menu
+ "Change Product or version")
+- [PowerAI Developer Portal](https://developer.ibm.com/linuxonpower/deep-learning-powerai/)
+ (Some Use Cases and examples)
+- [Included Software Packages](https://www.ibm.com/support/knowledgecenter/en/SS5SF7_1.5.4/navigation/pai_software_pkgs.html)
+ (note that you can select different PowerAI versions with the drop down menu "Change Product
+ or version")
+
+## Specific User Guides
+
+- [Getting Started with PowerAI](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted.htm)
+- [Caffe](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_caffe.html)
+- [TensorFlow](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorflow.html?view=kc)
+- [TensorFlow Probability](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorflow_prob.html?view=kc)
+ This release of PowerAI includes TensorFlow Probability. TensorFlow Probability is a library
+ for probabilistic reasoning and statistical analysis in TensorFlow.
+- [TensorBoard](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_tensorboard.html?view=kc)
+- [Snap ML](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_snapml.html)
+ This release of PowerAI includes Snap Machine Learning (Snap ML). Snap ML is a library for
+ training generalized linear models. It is being developed at IBM with the
+ vision to remove training time as a bottleneck for machine learning
+ applications. Snap ML supports many classical machine learning
+ models and scales gracefully to data sets with billions of examples
+ or features. It also offers distributed training, GPU acceleration,
+ and supports sparse data structures.
+- [PyTorch](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_pytorch.html)
+ This release of PowerAI includes
+ the community development preview of PyTorch 1.0 (rc1). PowerAI's
+ PyTorch includes support for IBM's Distributed Deep Learning (DDL)
+ and Large Model Support (LMS).
+- [Caffe2 and ONNX](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_caffe2ONNX.html)
+ This release of PowerAI includes a Technology Preview of Caffe2 and ONNX. Caffe2 is a
+ companion to PyTorch. PyTorch is great for experimentation and rapid
+ development, while Caffe2 is aimed at production environments. ONNX
+ (Open Neural Network Exchange) provides support for moving models
+ between those frameworks.
+- [Distributed Deep Learning](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.5.4/navigation/pai_getstarted_ddl.html?view=kc)
+ Distributed Deep Learning (DDL). Works on up to 4 nodes on `ml` partition.
+
+## PowerAI Container
+
+We have converted the official Docker container to Singularity. Here is
+a documentation about the Docker base container, including a table with
+the individual software versions of the packages installed within the
+container: [PowerAI Docker Container](https://hub.docker.com/r/ibmcom/powerai/).
diff --git a/doc.zih.tu-dresden.de/mkdocs.yml b/doc.zih.tu-dresden.de/mkdocs.yml
index eda2bde18672ae9f73a3a1b6922353ef8db2043c..782c943e79346da0e5d2902c097450b7a6f1a7d9 100644
--- a/doc.zih.tu-dresden.de/mkdocs.yml
+++ b/doc.zih.tu-dresden.de/mkdocs.yml
@@ -47,6 +47,7 @@ nav:
- Tensorboard: software/tensorboard.md
- Distributed Training: software/distributed_training.md
- Hyperparameter Optimization (OmniOpt): software/hyperparameter_optimization.md
+ - PowerAI: software/power_ai.md
- Data Analytics:
- Overview: software/data_analytics.md
- Data Analytics with R: software/data_analytics_with_r.md