diff --git a/docs/archive.md b/docs/archive.md
index 9fb6ef6fc45..35b9ebb99dd 100644
--- a/docs/archive.md
+++ b/docs/archive.md
@@ -5,6 +5,109 @@ nav_order: 15
---
Below are archived releases for RAPIDS Accelerator for Apache Spark.
+## Release v26.04.0
+### 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 3.3.0, 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 v26.04.0
+
+#### CUDA 12
+
+| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
+|-----------|---------------|--------------|--------------------|---------------------|
+| x86_64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
</dependency>
|
+| x86_64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
</dependency>
|
+| arm64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda12-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
+| arm64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda12-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
+
+
+#### CUDA 13
+
+| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
+|-----------|---------------|--------------|--------------------|---------------------|
+| x86_64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda13</classifier>
</dependency>
|
+| x86_64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda13</classifier>
</dependency>
|
+| arm64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
+| arm64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
+
+
+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_2.12-26.04.0.jar.asc rapids-4-spark_2.12-26.04.0.jar`
+* Verify the signature for Scala 2.13 jar:
+ `gpg --verify rapids-4-spark_2.13-26.04.0.jar.asc rapids-4-spark_2.13-26.04.0.jar`
+
+The output of signature verify:
+
+ gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) "
+
+### Release Notes
+* 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 v26.02.2
### Hardware Requirements:
diff --git a/docs/download.md b/docs/download.md
index c4968f55fa7..bac0256e10c 100644
--- a/docs/download.md
+++ b/docs/download.md
@@ -19,7 +19,7 @@ classpath on all nodes or submitted with each job that uses the RAPIDS Spark. Se
guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/getting-started/overview.html) for
more details.
-## Release v26.04.0
+## 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:
@@ -75,26 +75,26 @@ 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 v26.04.0
+### 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 v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
</dependency>
|
-| x86_64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
</dependency>
|
-| arm64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda12-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
-| arm64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda12-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda12-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.1</version>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.1</version>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.1</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.1</version>
<classifier>cuda12-arm64</classifier>
</dependency>
|
#### CUDA 13
| Processor | Scala Version | Download Jar | Download Signature | Download From Maven |
|-----------|---------------|--------------|--------------------|---------------------|
-| x86_64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda13</classifier>
</dependency>
|
-| x86_64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda13</classifier>
</dependency>
|
-| arm64 | Scala 2.12 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/26.04.0/rapids-4-spark_2.12-26.04.0-cuda13-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.0</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
-| arm64 | Scala 2.13 | [RAPIDS Accelerator v26.04.0](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13-arm64.jar) | [Signature](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.13/26.04.0/rapids-4-spark_2.13-26.04.0-cuda13-arm64.jar.asc) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.0</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.1</version>
<classifier>cuda13</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.1</version>
<classifier>cuda13</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.12</artifactId>
<version>26.04.1</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
+| 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) | <dependency>
<groupId>com.nvidia</groupId>
<artifactId>rapids-4-spark_2.13</artifactId>
<version>26.04.1</version>
<classifier>cuda13-arm64</classifier>
</dependency>
|
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.
@@ -103,15 +103,21 @@ The above packages are built against CUDA 12.9 or CUDA 13.1. They are tested on
* 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_2.12-26.04.0.jar.asc rapids-4-spark_2.12-26.04.0.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_2.13-26.04.0.jar.asc rapids-4-spark_2.13-26.04.0.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) "
### 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))