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Update doc to reflect nanosleep problem with 460.32.03 (NVIDIA#2301)
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Signed-off-by: Sameer Raheja <sraheja@nvidia.com>
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sameerz authored Apr 29, 2021
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32 changes: 16 additions & 16 deletions docs/download.md
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Expand Up @@ -100,10 +100,10 @@ The list of all supported operations is provided [here](supported_ops.md).
For a detailed list of changes, please refer to the
[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).

**_Note:_** Using Nvidia driver release 450.80.02 or 450.102.04 in combination with the CUDA 10.1 or
10.2 toolkit may result in long read times when reading a file that is snappy compressed. In those
cases we recommend either running with the CUDA 11.0 toolkit or using a newer driver. This issue is
resolved in the 0.5.0 and higher releases.
**_Note:_** Using Nvidia driver release 450.80.02, 450.102.04 or 460.32.03 in combination with the
CUDA 10.1 or 10.2 toolkit may result in long read times when reading a file that is snappy
compressed. In those cases we recommend either running with the CUDA 11.0 toolkit or using a newer
driver. This issue is resolved in the 0.5.0 and higher releases.

## Release v0.4.0
### Download v0.4.0
Expand Down Expand Up @@ -154,10 +154,10 @@ The list of all supported operations is provided [here](supported_ops.md).
For a detailed list of changes, please refer to the
[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).

**_Note:_** Using Nvidia driver release 450.80.02 or 450.102.04 in combination with the CUDA 10.1 or
10.2 toolkit may result in long read times when reading a file that is snappy compressed. In those
cases we recommend either running with the CUDA 11.0 toolkit or using a newer driver. This issue is
resolved in the 0.5.0 and higher releases.
**_Note:_** Using Nvidia driver release 450.80.02, 450.102.04 or 460.32.03 in combination with the
CUDA 10.1 or 10.2 toolkit may result in long read times when reading a file that is snappy
compressed. In those cases we recommend either running with the CUDA 11.0 toolkit or using a newer
driver. This issue is resolved in the 0.5.0 and higher releases.

## Release v0.3.0
### Download v0.3.0
Expand Down Expand Up @@ -205,10 +205,10 @@ The list of all supported operations is provided [here](supported_ops.md).
For a detailed list of changes, please refer to the
[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).

**_Note:_** Using Nvidia driver release 450.80.02 or 450.102.04 in combination with the CUDA 10.1 or
10.2 toolkit may result in long read times when reading a file that is snappy compressed. In those
cases we recommend either running with the CUDA 11.0 toolkit or using a newer driver. This issue is
resolved in the 0.5.0 and higher releases.
**_Note:_** Using Nvidia driver release 450.80.02, 450.102.04 or 460.32.03 in combination with the
CUDA 10.1 or 10.2 toolkit may result in long read times when reading a file that is snappy
compressed. In those cases we recommend either running with the CUDA 11.0 toolkit or using a newer
driver. This issue is resolved in the 0.5.0 and higher releases.

## Release v0.2.0
### Download v0.2.0
Expand Down Expand Up @@ -259,10 +259,10 @@ The list of all supported operations is provided
For a detailed list of changes, please refer to the
[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).

**_Note:_** Using Nvidia driver release 450.80.02 or 450.102.04 in combination with the CUDA 10.1 or
10.2 toolkit may result in long read times when reading a file that is snappy compressed. In those
cases we recommend either running with the CUDA 11.0 toolkit or using a newer driver. This issue is
resolved in the 0.5.0 and higher releases.
**_Note:_** Using Nvidia driver release 450.80.02, 450.102.04 or 460.32.03 in combination with the
CUDA 10.1 or 10.2 toolkit may result in long read times when reading a file that is snappy
compressed. In those cases we recommend either running with the CUDA 11.0 toolkit or using a newer
driver. This issue is resolved in the 0.5.0 and higher releases.

## Release v0.1.0
### Download v0.1.0
Expand Down

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