Remove extra images and outdated README sections.

rapidsai · Nov 11, 2023 · f6c46b9 · f6c46b9
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diff --git a/README.md b/README.md
@@ -86,17 +86,3 @@ See build [instructions](CONTRIBUTING.md#setting-up-your-build-environment).
 ## Contributing
 
 Please see our [guide for contributing to cuDF](CONTRIBUTING.md).
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-## Contact
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-Find out more details on the [RAPIDS site](https://rapids.ai/learn-more/#get-involved)
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-## <div align="left"><img src="img/rapids_logo.png" width="265px"/></div> Open GPU Data Science
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-The RAPIDS suite of open source software libraries aim to enable execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
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-<p align="center"><img src="img/rapids_arrow.png" width="80%"/></p>
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-### Apache Arrow on GPU
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-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.
diff --git a/img/GDF_community.png b/img/GDF_community.png
diff --git a/img/goai_logo.png b/img/goai_logo.png
diff --git a/img/rapids_arrow.png b/img/rapids_arrow.png
diff --git a/python/custreamz/README.md b/python/custreamz/README.md
@@ -1,4 +1,4 @@
-# <div align="left"><img src="../../img/rapids_logo.png" width="90px"/>&nbsp;custreamz - GPU Accelerated Streaming</div>
+# custreamz - GPU Accelerated Streaming
 
 Built as an extension to [python streamz](https://github.com/python-streamz/streamz), cuStreamz provides GPU accelerated abstractions for streaming data. CuStreamz can be used along side python streamz or as a standalone library for ingesting streaming data to cudf dataframes.