[DOC] update download page for 26.04.2 hot release [skip ci] (#14770)

No issue; release documentation update.

### Description

Updates the main branch release documentation for the 26.04.2 hot
release:

- Updates `docs/download.md` from v26.04.1 to v26.04.2, including
headings, Maven artifact links, Maven dependency snippets, and signature
verification examples.
- Adds a short v26.04.2 hotfix release note for the shuffle bytes metric
fix.
- Archives the previous v26.04.1 download page content at the top of
`docs/archive.md`.

Testing is not required because this is a documentation-only change.
Performance testing is not required because no code paths changed.

`[skip ci]` because this is doc-only.

### Checklists

Documentation
- [x] Updated for new or modified user-facing features or behaviors
- [ ] No user-facing change

Testing
- [ ] Added or modified tests to cover new code paths
- [ ] Covered by existing tests
(Please provide the names of the existing tests in the PR description.)
- [x] Not required

Performance
- [ ] Tests ran and results are added in the PR description
- [ ] Issue filed with a link in the PR description
- [x] Not required

Made with [Cursor](https://cursor.com)

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

Author: nvliyuan

docs/archive.md

@@ -5,6 +5,115 @@ nav_order: 15
 ---
 Below are archived releases for RAPIDS Accelerator for Apache Spark.
 
+## Release v26.04.1
+### 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 3.3.0, 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, 3.5.7, 3.5.8
+		Apache Spark 4.0.0, 4.0.1, 4.0.2
+		Apache Spark 4.1.1
+		Scala 2.12: Spark 3.3.0 through 3.5.8
+		Scala 2.13: Spark 3.5.0 through 3.5.8, and Spark 4.0.0, 4.0.1, 4.0.2, and 4.1.1
+
+	Supported Databricks runtime versions for Azure and AWS:
+		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)
+		Databricks 17.3 ML LTS (GPU, Scala 2.13, Spark 4.0.0)
+
+	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 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 v26.04.1
+
+#### CUDA 12
+
+| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
+|-----------|---------------|--------------|--------------------|---------------------|
+| x86_64    | Scala 2.12    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1.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;26.04.1&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| x86_64    | Scala 2.13    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1.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;26.04.1&lt;/version&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.12    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.13    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda12-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+
+
+#### CUDA 13
+
+| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
+|-----------|---------------|--------------|--------------------|---------------------|
+| x86_64    | Scala 2.12    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-cuda13.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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda13&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| x86_64    | Scala 2.13    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-cuda13.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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda13&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.12    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.1/rapids-4-spark_2.12-26.04.1-cuda13-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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda13-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+| arm64     | Scala 2.13    | [RAPIDS Accelerator v26.04.1](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.1/rapids-4-spark_2.13-26.04.1-cuda13-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;26.04.1&lt;/version&gt;<br/>    &lt;classifier&gt;cuda13-arm64&lt;/classifier&gt;<br/>&lt;/dependency&gt;</pre> |
+
+
+The above packages are built against CUDA 12.9 or CUDA 13.1. They are tested on V100, T4, A10, A100, L4, H100 and GB100 GPUs.
+
+### 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_2.12-26.04.1.jar.asc rapids-4-spark_2.12-26.04.1.jar`
+* Verify the signature for Scala 2.13 jar:
+    `gpg --verify rapids-4-spark_2.13-26.04.1.jar.asc rapids-4-spark_2.13-26.04.1.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
+v26.04.1 is a hotfix release on top of v26.04.0 with the following fixes:
+* Fix unregister/remove path for the wrapped shuffle resolver to prevent stale shuffle files from accumulating, which could cause `java.io.IOException: No space left on device` on long running jobs ([#14686](https://github.com/NVIDIA/spark-rapids/pull/14686), [#14683](https://github.com/NVIDIA/spark-rapids/issues/14683))
+* Rebuilt against the latest Databricks 17.3 ML LTS runtime to resolve a `NoSuchMethodError` on `CatalogTable.copy` in `GpuCreateDataSourceTableAsSelectCommand` ([#14682](https://github.com/NVIDIA/spark-rapids/issues/14682))
+
+The full v26.04.0 release notes are also included below.
+
+* Databricks 17.3 ML LTS (Spark 4.0) support (Delta Lake fallback to CPU); Databricks 12.2 ML LTS no longer supported ([#14518](https://github.com/NVIDIA/spark-rapids/pull/14518))
+* Iceberg 1.10.1 support with Spark 4.0.2 ([#14459](https://github.com/NVIDIA/spark-rapids/pull/14459))
+* Bloom filter v2 support on Databricks ([#14406](https://github.com/NVIDIA/spark-rapids/pull/14406))
+* Parquet GPU reader: defer resource collection until close ([#14490](https://github.com/NVIDIA/spark-rapids/pull/14490)); row-to-column per-batch retry for OOM recovery ([#14428](https://github.com/NVIDIA/spark-rapids/pull/14428))
+* Shuffle and spilling: shuffle fanout OOM fix ([#14525](https://github.com/NVIDIA/spark-rapids/pull/14525)), thread-safe shuffle unregister ([#14513](https://github.com/NVIDIA/spark-rapids/pull/14513)), bounded retry logging for shuffle coalesce ([#14537](https://github.com/NVIDIA/spark-rapids/pull/14537))
+* Window execution fixes for mixed ROWS windows ([#14533](https://github.com/NVIDIA/spark-rapids/pull/14533))
+
+For a detailed list of changes, please refer to the
+[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).
+
 ## Release v26.04.0
 ### Hardware Requirements: