[DOC] update for download page 2512 release [skip ci] (#14011)

update the download doc for 2512 release (same as #13984 13984)
Signed-off-by: liyuan <yuali@nvidia.com>

Signed-off-by: liyuan <yuali@nvidia.com>

Author: nvliyuan

docs/archive.md

@@ -5,6 +5,97 @@ nav_order: 15
 ---
 Below are archived releases for RAPIDS Accelerator for Apache Spark.
 
+## Release v25.10.0
+### Hardware Requirements:
+
+The plugin is designed to work on NVIDIA Volta, Turing, Ampere, Ada Lovelace, Hopper and Blackwell generation datacenter GPUs.  The plugin jar is tested on the following GPUs:
+
+	GPU Models: NVIDIA V100, T4, A10, A100, L4, H100 and B100 GPUs
+
+### Software Requirements:
+
+    OS: Spark RAPIDS is compatible with any Linux distribution with glibc >= 2.28 (Please check ldd --version output).  glibc 2.28 was released August 1, 2018. 
+    Tested on Ubuntu 22.04, Ubuntu 24.04, Rocky Linux 8 and Rocky Linux 9
+
+	NVIDIA Driver*: R525+
+
+	Runtime: 
+		Scala 2.12, 2.13
+		Python, Java Virtual Machine (JVM) compatible with your spark-version. 
+
+		* Check the Spark documentation for Python and Java version compatibility with your specific 
+		Spark version. For instance, visit `https://spark.apache.org/docs/3.4.1` for Spark 3.4.1.
+
+	Supported Spark versions:
+		Apache Spark 3.2.0, 3.2.1, 3.2.2, 3.2.3, 3.2.4
+		Apache Spark 3.3.0, 3.3.1, 3.3.2, 3.3.3, 3.3.4
+		Apache Spark 3.4.0, 3.4.1, 3.4.2, 3.4.3, 3.4.4
+		Apache Spark 3.5.0, 3.5.1, 3.5.2, 3.5.3, 3.5.4, 3.5.5, 3.5.6
+		Apache Spark 4.0.0, 4.0.1 
+	
+	Supported Databricks runtime versions for Azure and AWS:
+		Databricks 12.2 ML LTS (GPU, Scala 2.12, Spark 3.3.2)
+		Databricks 13.3 ML LTS (GPU, Scala 2.12, Spark 3.4.1)
+		Databricks 14.3 ML LTS (GPU, Scala 2.12, Spark 3.5.0)
+	
+	Supported Dataproc versions (Debian/Ubuntu/Rocky):
+		GCP Dataproc 2.1
+		GCP Dataproc 2.2
+		GCP Dataproc 2.3
+
+	Supported Dataproc Serverless versions:
+		Spark runtime 1.1 LTS
+		Spark runtime 1.2
+		Spark runtime 2.0
+		Spark runtime 2.1
+		Spark runtime 2.2
+
+*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
+[Distributions](https://docs.nvidia.com/spark-rapids/user-guide/latest/faq.html#which-distributions-are-supported) section of the FAQ.
+
+### RAPIDS Accelerator's Support Policy for Apache Spark
+The RAPIDS Accelerator maintains support for Apache Spark versions available for download from [Apache Spark](https://spark.apache.org/downloads.html)
+
+### Download RAPIDS Accelerator for Apache Spark v25.10.0
+
+| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
+|-----------|---------------|--------------|--------------------|---------------------|
+| x86_64    | Scala 2.12    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| x86_64    | Scala 2.13    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.12    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.13    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+
+This package is built against CUDA 12.9. It is tested on V100, T4, A10, A100, L4, H100 and GB100 GPUs with 
+CUDA 12.9.  
+
+### Verify signature
+* Download the [PUB_KEY](https://keys.openpgp.org/search?q=sw-spark@nvidia.com).
+* Import the public key: `gpg --import PUB_KEY`
+* Verify the signature for Scala 2.12 jar:
+    `gpg --verify rapids-4-spark_2.12-25.10.0.jar.asc rapids-4-spark_2.12-25.10.0.jar`
+* Verify the signature for Scala 2.13 jar:
+    `gpg --verify rapids-4-spark_2.13-25.10.0.jar.asc rapids-4-spark_2.13-25.10.0.jar`
+
+The output of signature verify:
+
+	gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <sw-spark@nvidia.com>"
+
+### Release Notes
+* Delta Lake liquid clustering read/write/optimize support
+* Delta Lake optimize support
+* Delta Lake deletion vector support with two caveats: need to set `useMetadataRowIndex=false` and deletion vector support will fall back to the CPU when using the coalescing file reader (these limitations to be removed in a future release)
+* Iceberg insert operations support and improved write job statistics tracking
+* Improved performance for stddev and variance operations in hash based group by aggregations
+* Support for uuid
+* Added Spark 4.0.1 support
+* Added CUDA 13 support, in addition to CUDA 12 support. 
+
+Note: There is a known issue in the 25.10.0 release when decompressing gzip files on H100 GPUs.
+Please find more details in [issue-16661](https://github.com/rapidsai/cudf/issues/16661).
+
 ## Release v25.08.0
 ### Hardware Requirements:
 

docs/download.md

@@ -18,7 +18,7 @@ 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://docs.nvidia.com/spark-rapids/user-guide/latest/getting-started/overview.html) for more details.
 
-## Release v25.10.0
+## Release v25.12.0
 ### Hardware Requirements:
 
 The plugin is designed to work on NVIDIA Volta, Turing, Ampere, Ada Lovelace, Hopper and Blackwell generation datacenter GPUs.  The plugin jar is tested on the following GPUs:
@@ -72,14 +72,14 @@ for your hardware's minimum driver version.
 ### RAPIDS Accelerator's Support Policy for Apache Spark
 The RAPIDS Accelerator maintains support for Apache Spark versions available for download from [Apache Spark](https://spark.apache.org/downloads.html)
 
-### Download RAPIDS Accelerator for Apache Spark v25.10.0
+### Download RAPIDS Accelerator for Apache Spark v25.12.0
 
 | Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
 |-----------|---------------|--------------|--------------------|---------------------|
-| x86_64    | Scala 2.12    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
-| x86_64    | Scala 2.13    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
-| arm64     | Scala 2.12    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.10.0/rapids-4-spark_2.12-25.10.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
-| arm64     | Scala 2.13    | [RAPIDS Accelerator v25.10.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.10.0/rapids-4-spark_2.13-25.10.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.10.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| x86_64    | Scala 2.12    | [RAPIDS Accelerator v25.12.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.12.0/rapids-4-spark_2.12-25.12.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.12.0/rapids-4-spark_2.12-25.12.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.12.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| x86_64    | Scala 2.13    | [RAPIDS Accelerator v25.12.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.12.0/rapids-4-spark_2.13-25.12.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.12.0/rapids-4-spark_2.13-25.12.0.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.12.0&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.12    | [RAPIDS Accelerator v25.12.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.12.0/rapids-4-spark_2.12-25.12.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/25.12.0/rapids-4-spark_2.12-25.12.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.12&lt;/artifactId&gt;<br/>    &lt;version&gt;25.12.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.13    | [RAPIDS Accelerator v25.12.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.12.0/rapids-4-spark_2.13-25.12.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/25.12.0/rapids-4-spark_2.13-25.12.0-cuda12-arm64.jar.asc) | <pre>&lt;dependency&gt;<br/>    &lt;groupId&gt;com.nvidia&lt;/groupId&gt;<br/>    &lt;artifactId&gt;rapids-4-spark_2.13&lt;/artifactId&gt;<br/>    &lt;version&gt;25.12.0&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
 
 This package is built against CUDA 12.9. It is tested on V100, T4, A10, A100, L4, H100 and GB100 GPUs with 
 CUDA 12.9.  
@@ -88,25 +88,23 @@ CUDA 12.9.
 * Download the [PUB_KEY](https://keys.openpgp.org/search?q=sw-spark@nvidia.com).
 * Import the public key: `gpg --import PUB_KEY`
 * Verify the signature for Scala 2.12 jar:
-    `gpg --verify rapids-4-spark_2.12-25.10.0.jar.asc rapids-4-spark_2.12-25.10.0.jar`
+    `gpg --verify rapids-4-spark_2.12-25.12.0.jar.asc rapids-4-spark_2.12-25.12.0.jar`
 * Verify the signature for Scala 2.13 jar:
-    `gpg --verify rapids-4-spark_2.13-25.10.0.jar.asc rapids-4-spark_2.13-25.10.0.jar`
+    `gpg --verify rapids-4-spark_2.13-25.12.0.jar.asc rapids-4-spark_2.13-25.12.0.jar`
 
 The output of signature verify:
 
 	gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <sw-spark@nvidia.com>"
 
 ### Release Notes
-* Delta Lake liquid clustering read/write/optimize support
-* Delta Lake optimize support
-* Delta Lake deletion vector support with two caveats: need to set `useMetadataRowIndex=false` and deletion vector support will fall back to the CPU when using the coalescing file reader (these limitations to be removed in a future release)
-* Iceberg insert operations support and improved write job statistics tracking
-* Improved performance for stddev and variance operations in hash based group by aggregations
-* Support for uuid
-* Added Spark 4.0.1 support
-* Added CUDA 13 support, in addition to CUDA 12 support. 
-
-Note: There is a known issue in the 25.10.0 release when decompressing gzip files on H100 GPUs.
+* Iceberg enhancements including DML operations (delete, update, merge) for merge-on-read tables, partition transforms (year/month/day/hour/truncate), and write operations enabled by default.
+* Delta Lake clustered tables DML support including update, merge, and delete operations with deletion vector enabled GPU by default.
+* Join improvements including support for left-outer joins with no columns, new join strategies with logging and heuristic configurations, and improved gather map ordering.
+* CSV support for GBK encoded data.
+* Refine GpuTaskMetrics over the spill framework.
+* Fix race condition due to premature disk handle exposure.
+
+Note: There is a known issue in the 25.12.0 release when decompressing gzip files on H100 GPUs.
 Please find more details in [issue-16661](https://github.com/rapidsai/cudf/issues/16661).
 
 For a detailed list of changes, please refer to the