Explicitly call out that the GPU open beta runs on a single GPU (#17872)

due to questions that arose, I wanted to clarify up front that the GPU Open beta works on a single GPU.
Closes #17871

Authors:
  - Taurean Dyer (https://github.com/taureandyernv)
  - Matthew Murray (https://github.com/Matt711)

Approvers:
  - Matthew Murray (https://github.com/Matt711)

URL: #17872

Author: taureandyernv

docs/cudf/source/cudf_polars/index.rst

@@ -5,7 +5,7 @@ cuDF provides an in-memory, GPU-accelerated execution engine for Python users of
 The engine supports most of the core expressions and data types as well as a growing set of more advanced dataframe manipulations
 and data file formats. When using the GPU engine, Polars will convert expressions into an optimized query plan and determine
 whether the plan is supported on the GPU. If it is not, the execution will transparently fall back to the standard Polars engine
-and run on the CPU.
+and run on the CPU. This functionality is available in Open Beta, is undergoing rapid development, and is currently a single GPU implementation.
 
 Benchmark
 ---------
@@ -42,9 +42,9 @@ Launch on Google Colab
 
 .. figure:: ../_static/colab.png
    :width: 200px
-   :target: https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/accelerated_data_processing_examples/polars_gpu_engine_demo.ipynb
+   :target: https://nvda.ws/4eKlWZW
 
-   Try out the GPU engine for Polars in a free GPU notebook environment. Sign in with your Google account and `launch the demo on Colab <https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/accelerated_data_processing_examples/polars_gpu_engine_demo.ipynb>`__.
+   Try out the GPU engine for Polars in a free GPU notebook environment. Sign in with your Google account and `launch the demo on Colab <https://nvda.ws/4eKlWZW>`__.
 
 .. toctree::
    :maxdepth: 1