README update- remove 'experimental' from GPU support section (#798)

Author: randerzander

README.md

@@ -22,7 +22,7 @@ if you need it.
 * **Your data - your queries**: Use Python user-defined functions (UDFs) in SQL without any performance drawback and extend your SQL queries with the large number of Python libraries, e.g. machine learning, different complicated input formats, complex statistics.
 * **Easy to install and maintain**: `dask-sql` is just a pip/conda install away (or a docker run if you prefer). No need for complicated cluster setups - `dask-sql` will run out of the box on your machine and can be easily connected to your computing cluster.
 * **Use SQL from wherever you like**: `dask-sql` integrates with your jupyter notebook, your normal Python module or can be used as a standalone SQL server from any BI tool. It even integrates natively with [Apache Hue](https://gethue.com/).
-* **GPU Support**: `dask-sql` has _experimental_ support for running SQL queries on CUDA-enabled GPUs by utilizing [RAPIDS](https://rapids.ai) libraries like [`cuDF`](https://github.com/rapidsai/cudf), enabling accelerated compute for SQL.
+* **GPU Support**: `dask-sql` supports running SQL queries on CUDA-enabled GPUs by utilizing [RAPIDS](https://rapids.ai) libraries like [`cuDF`](https://github.com/rapidsai/cudf), enabling accelerated compute for SQL.
 
 Read more in the [documentation](https://dask-sql.readthedocs.io/en/latest/).