RAPIDS on IBM Cloud

source/cloud/ibm/index.md

@@ -0,0 +1,21 @@
+# IBM Cloud
+
+```{toctree}
+---
+maxdepth: 2
+caption: IBM Cloud
+---
+single-node
+```
+
+RAPIDS can be deployed on IBM Cloud in several ways. See the
+list of accelerated instance types below:
+
+| Cloud <br> Provider | Inst. <br> Type     | vCPUs | Inst. <br> Name    | GPU <br> Count | GPU <br> Type | xGPU <br> RAM | xGPU <br> RAM Total |
+| :------------------ | ------------------- | ----- | ------------------ | -------------- | ------------- | ------------- | ------------------: |
+| IBM                 | V100 GPU Virtual    | 8     | gx2-8x64x1v100     | 1              | NVIDIA Tesla  | 16 (GB)       |             64 (GB) |
+| IBM                 | V100 GPU Virtual    | 16    | gx2-16x128x1v100   | 1              | NVIDIA Tesla  | 16 (GB)       |            128 (GB) |
+| IBM                 | V100 GPU Virtual    | 16    | gx2-16x128x2v100   | 2              | NVIDIA Tesla  | 16 (GB)       |            128 (GB) |
+| IBM                 | V100 GPU Virtual    | 32    | gx2-32x256x2v100   | 2              | NVIDIA Tesla  | 16 (GB)       |            256 (GB) |
+| IBM                 | P100 GPU Bare Metal | 32    | mg4c.32x384.2xp100 | 2              | NVIDIA Tesla  | 16 (GB)       |            384 (GB) |
+| IBM                 | V100 GPU Bare Metal | 48    | mg4c.48x384.2xv100 | 2              | NVIDIA Tesla  | 16 (GB)       |            384 (GB) |

source/cloud/ibm/single-node.md

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+# Single Node
+
+There are multiple ways you can deploy RAPIDS on a single instance, but the easiest is to use the RAPIDS docker image:
+
+## Launch a VM instance
+
+Launch an instance supported by RAPIDS. See the [introduction
+section for a list of supported instance types](index).
+
+## Configure networking
+
+Create a Floating IP and associate that with the created instance to access the instance on the web.
+
+## Login
+
+Using the credentials supplied by IBM, log into the instance
+via SSH. For a short guide on launching your instance and accessing it, read the
+[Getting Started with IBM Virtual Server Documentation](https://cloud.ibm.com/docs/virtual-servers?topic=virtual-servers-getting-started-tutorial).
+
+## Install pre-requisites
+
+Install the [NVIDIA drivers](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#nvidia-drivers) and [Docker and the NVIDIA Docker
+runtime](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
+in the IBM virtual server instance.
+
+## Install RAPIDS
+
+Install RAPIDS docker image. The docker container can be
+customized by using the options provided in the **[Getting
+Started](https://rapids.ai/start.html)** page of RAPIDS. Example of an image
+that can be used is provided below:
+
+```shell
+$ docker pull rapidsai/rapidsai:22.10-cuda11.5-runtime-ubuntu20.04-py3.9
+$ docker run --gpus all --rm -it --shm-size=1g --ulimit memlock=-1 -p 8888:8888 -p 8787:8787 -p 8786:8786 \
+    rapidsai/rapidsai:22.10-cuda11.5-runtime-ubuntu20.04-py3.9
+```
+
+## Test RAPIDS
+
+Test it! The RAPIDS docker image will start a Jupyter
+notebook instance automatically. You can log into it by going to the Floating IP address
+associated with the instance on port 8888.

source/cloud/index.rst

@@ -9,3 +9,4 @@ Cloud
 
     aws/index
     azure/index
+    ibm/index