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Update RHOAI docs to reflect changes coming Jan 7 #230

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Expand Up @@ -64,7 +64,7 @@ On the Create workbench page, complete the following information.

- Notebook image (Image selection)

- Deployment size (Container size and Number of GPUs)
- Deployment size (Container size, Type and Number of GPUs)

- Environment variables

Expand All @@ -82,7 +82,7 @@ On the Create workbench page, complete the following information.
resources, including CPUs and memory. Each container size comes with pre-configured
CPU and memory resources.

Optionally, you can specify the desired **Number of GPUs** depending on the
Optionally, you can specify the desired **Accelerator** and **Number of Accelerators** (GPUs), depending on the
nature of your data analysis and machine learning code requirements. However,
this number should not exceed the GPU quota specified by the value of the
"**OpenShift Request on GPU Quota**" attribute that has been approved for
Expand All @@ -97,7 +97,7 @@ Once you have entered the information for your workbench, click **Create**.
![Fill Workbench Information](images/tensor-flow-workbench.png)

For our example project, let's name it "Tensorflow Workbench". We'll select the
**TensorFlow** image, choose a **Deployment size** of **Small**, **Number of GPUs**
**TensorFlow** image, choose a **Deployment size** of **Small**, **Accelerator** of **NVIDIA A100 GPU**, **Number of Accelerators**
as **1** and allocate a **Cluster storage** space of **1GB**.

!!! info "More About Cluster Storage"
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