Documentation fixes for NCCL tests (#376)

* add draft

Signed-off-by: Piotr Pawłowski <[email protected]>

* Fixed nccl test script and command

* Wording, parametrizing --device-type

* capitalizing ultra, link in readme

---------

Signed-off-by: Piotr Pawłowski <[email protected]>
Co-authored-by: Piotr Pawłowski <[email protected]>

Author: gcie

README.md

@@ -564,6 +564,8 @@ To submit jobs on a cluster with A3 machines, run the below command. To create a
   ```
 > The docker image flags/arguments introduced in [workloads section](#workload-create) can be used with A3 machines as well.
 
+In order to run NCCL test on A3 Ultra machines check out [this guide](/examples/nccl/nccl.md).
+
 ### Workload Priority and Preemption
 * Set the priority level of your workload with `--priority=LEVEL`
 

examples/nccl/nccl.md

@@ -2,11 +2,13 @@
 
 This document provides an introduction to running tests for the NVIDIA Collective Communications Library (NCCL). NCCL is a high-performance, multi-GPU communications library used in deep learning and other applications. The test suite helps verify the correct functionality and performance of NCCL on your system. Please visit [NCCL tests github](https://github.com/NVIDIA/nccl-tests?tab=readme-ov-file#nccl-tests) to learn more about NCCL and running it.
 
-Steps presented in this document are designed to run on A3 ultra machines (`DEVICE_TYPE=h200-141gb-8`).
+Steps presented in this document are designed to run on A3 Ultra machines (`DEVICE_TYPE=h200-141gb-8`).
 
 ### 1. Create cluster
 
-First step is to create a cluster with A3 ultra machine. Execute below step:
+Skip this step if you have already provisioned a GKE cluster with A3 Ultra machines.
+
+First step is to create a cluster with A3 Ultra machine. Execute command below:
 
 ```
 python3 xpk.py cluster create \