Remove gpuCI scripts.

README.md

@@ -5,7 +5,6 @@
 
 <div align="center">
 
-[![Build Status](https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cugraph/job/branches/job/cugraph-branch-pipeline/badge/icon)](https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cugraph/job/branches/job/cugraph-branch-pipeline/)
 <a href="https://github.com/rapidsai/cugraph/blob/main/LICENSE">
  <img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License"></a>
 <img alt="GitHub tag (latest by date)" src="https://img.shields.io/github/v/tag/rapidsai/cugraph">
@@ -137,4 +136,4 @@ For more project details, see [rapids.ai](https://rapids.ai/).
 <br><br>
 ### Apache Arrow on GPU <a name="arrow"></a>
 
-The GPU version of [Apache Arrow](https://arrow.apache.org/) is a common API that enables efficient interchange of tabular data between processes running on the GPU. End-to-end computation on the GPU avoids unnecessary copying and converting of data off the GPU, reducing compute time and cost for high-performance analytics common in artificial intelligence workloads. As the name implies, cuDF uses the Apache Arrow columnar data format on the GPU. Currently, a subset of the features in Apache Arrow are supported.
+The GPU version of [Apache Arrow](https://arrow.apache.org/) is a common API that enables efficient interchange of tabular data between processes running on the GPU. End-to-end computation on the GPU avoids unnecessary copying and converting of data off the GPU, reducing compute time and cost for high-performance analytics common in artificial intelligence workloads. As the name implies, cuDF uses the Apache Arrow columnar data format on the GPU. Currently, a subset of the features in Apache Arrow are supported.