Update Download page for 21.12 [skip ci]

docs/download.md

@@ -18,6 +18,61 @@ cuDF jar, that is either preinstalled in the Spark classpath on all nodes or sub
 that uses the RAPIDS Accelerator For Apache Spark. See the [getting-started
 guide](https://nvidia.github.io/spark-rapids/Getting-Started/) for more details.
 
+## Release v21.12.0
+Hardware Requirements:
+
+The plugin is tested on the following architectures:
+
+	GPU Architecture: NVIDIA V100, T4 and A2/A10/A30/A100 GPUs
+
+Software Requirements:
+
+	OS: Ubuntu 18.04, Ubuntu 20.04 or CentOS 7, CentOS 8
+
+	CUDA & NVIDIA Drivers*: 11.x & v450.80.02+
+
+	Apache Spark 3.0.1, 3.0.2, 3.0.3, 3.1.1, 3.1.2, 3.2.0, Cloudera CDP 7.1.6, 7.1.7, Databricks 7.3 ML LTS or 9.1 ML LTS Runtime and GCP Dataproc 2.0
+
+	Apache Hadoop 2.10+ or 3.1.1+ (3.1.1 for nvidia-docker version 2)
+
+	Python 3.6+, Scala 2.12, Java 8
+
+*Some hardware may have a minimum driver version greater than v450.80.02+.  Check the GPU spec sheet
+for your hardware's minimum driver version.
+
+### Download v21.12.0
+* Download the [RAPIDS
+  Accelerator for Apache Spark 21.12.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/21.12.0/rapids-4-spark_2.12-21.12.0.jar)
+* Download the [RAPIDS cuDF 21.12.0 jar](https://repo1.maven.org/maven2/ai/rapids/cudf/21.12.0/cudf-21.12.0-cuda11.jar)
+
+This package is built against CUDA 11.5 and has [CUDA forward
+compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html) enabled.  It is tested
+on V100, T4, A2, A10, A30 and A100 GPUs with CUDA 11.0-11.5.  For those using other types of GPUs which
+do not have CUDA forward compatibility (for example, GeForce), CUDA 11.5 is required. Users will
+need to ensure the minimum driver (450.80.02) and CUDA toolkit are installed on each Spark node.
+
+### Release Notes
+New functionality and performance improvements for this release include:
+* Support decimal precision up to 38 digits (128-bits)
+* Support stddev on double in window context 
+* Support CPU row-based UDF
+* CreateArray outputs array of struct
+* collect_set outputs array of struct
+* ORC reader and writer support for decimal precision up to 38 digits (128-bits)
+* ORC writer supports array, map, and struct
+* Support SampleExec, rlike
+* regexp_replace supports more patterns such as replacing null
+* ParquetCachedBatchSerializer supports map
+* Add function explainPotentialGpuPlan to print GPU query plan in a CPU Spark cluster
+* Spark Qualification Tool
+  * Detect RDD APIs and JDBC Scan
+* Spark Profiling Tool
+  * Catch OOM errors and log a hint to increase java heap size
+  * Print potential problems
+
+For a detailed list of changes, please refer to the
+[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).
+
 ## Release v21.10.0
 Hardware Requirements: