[Doc]Remove CUDA related requirement from download page.[Skip CI] (#9277

)

* Remove CUDA related requirement from download page.

Signed-off-by: Hao Zhu <9665750+viadea@users.noreply.github.com>

* Update docs/download.md

Co-authored-by: Jason Lowe <jlowe@nvidia.com>

---------

Signed-off-by: Hao Zhu <9665750+viadea@users.noreply.github.com>
Co-authored-by: Jason Lowe <jlowe@nvidia.com>

docs/download.md

@@ -29,7 +29,7 @@ The plugin is tested on the following architectures:
 
 	OS: Ubuntu 20.04, Ubuntu 22.04, CentOS 7, or Rocky Linux 8
 
-	NVIDIA Driver*: 470+
+	NVIDIA Driver*: R470+
 
 	Runtime: 
 		Scala 2.12
@@ -55,7 +55,7 @@ The plugin is tested on the following architectures:
 		GCP Dataproc 2.0
 		GCP Dataproc 2.1
 
-*Some hardware may have a minimum driver version greater than v450.80.02+.  Check the GPU spec sheet
+*Some hardware may have a minimum driver version greater than R470. Check the GPU spec sheet
 for your hardware's minimum driver version.
 
 *For Cloudera and EMR support, please refer to the
@@ -65,10 +65,8 @@ for your hardware's minimum driver version.
 * Download the [RAPIDS
   Accelerator for Apache Spark 23.08.1 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.08.1/rapids-4-spark_2.12-23.08.1.jar)
 
-This package is built against CUDA 11.8, all CUDA 11.x and 12.x versions are supported through [CUDA forward
-compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html). It is tested
-on V100, T4, A10, A100, L4 and H100 GPUs with CUDA 11.8-12.0.  For those using other types of GPUs 
-which do not have CUDA forward compatibility (for example, GeForce), CUDA 11.8 or later is required.
+This package is built against CUDA 11.8. It is tested on V100, T4, A10, A100, L4 and H100 GPUs with 
+CUDA 11.8 through CUDA 12.0.
 
 Note that v23.08.0 is deprecated.