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1 change: 1 addition & 0 deletions doc/changes/changes_10.2.0.md
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Expand Up @@ -56,6 +56,7 @@ This release uses version 3.4.1 of the container tool.
## Doc

- #1276: Added Cuda Version information section to flavor overview
- #1341: Removed Cudnn package from flavors/README.md

## Internal

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2 changes: 2 additions & 0 deletions doc/changes/package_diffs/10.2.0/README.md

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4 changes: 1 addition & 3 deletions flavors/README.md
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Expand Up @@ -143,7 +143,6 @@ The template-Exasol-8-python-3.10-cuda-conda flavor provides the language Python
- Supported Package Manager: conda, pip
- Without NVIDIA Driver
- Installed CudaToolkit: 12.9.1
- Installed CuDNN: 9.10.1.4
- [Here](template-Exasol-8-python-3.10-cuda-conda/FLAVOR_DESCRIPTION.md) you can find more details about the flavor, such as the provided packages.

**Important**: If you are using a CUDA driver older than version 575, we recommend that you also install the CUDA compatibility package (cuda-compat) `12.9.1`. See https://docs.nvidia.com/deploy/cuda-compatibility/forward-compatibility.html#deployment-considerations-for-forward-compatibility for compatible drivers.
Expand Down Expand Up @@ -171,7 +170,6 @@ The template-Exasol-8-python-3.12-cuda-conda flavor provides the language Python
- Supported Package Manager: conda, pip
- Without NVIDIA Driver
- Installed CudaToolkit: 12.9.1
- Installed CuDNN: 9.13.1.26
- [Here](template-Exasol-8-python-3.12-cuda-conda/FLAVOR_DESCRIPTION.md) you can find more details about the flavor, such as the provided packages.

**Important**: If you are using a CUDA driver older than version 575, we recommend that you also install the CUDA compatibility package (cuda-compat) `12.9.1`. See https://docs.nvidia.com/deploy/cuda-compatibility/forward-compatibility.html#deployment-considerations-for-forward-compatibility for compatible drivers.
Expand Down Expand Up @@ -212,5 +210,5 @@ So, in order to find the correct version of a flavor for your version of Exasol,

## Cuda Support

For the CUDA-based flavors we recommend to use the CUDA LTS Driver version 535.
For the CUDA-based flavors we recommend to use the CUDA LTS Driver version 580.
Depending on the used CUDA-Toolkit version you might need to install the CUDA compatibility package (cuda-compat). Check the concrete flavor description for details.