Support for CUDA 12.0 and 12.1
@fwyzard,
The latest tensorflow stable version 2.12 is compatible with CUDA 11.8 and cuDNN 8.6. Please take a look at the official document for the tested build [configurations](https://www.tensorflow.org/install/source).

 Going forward for the upcoming releases, tensorflow might move to CUDA 12.0 or higher version. We will announce that information in the mentioned official doc once the next release happens. Thank you! > Going forward for the upcoming releases, tensorflow might move to CUDA 12.0 or higher version. We will announce that information in the mentioned official doc once the next release happens.

Hi @tilakrayal, thanks for the answer, even though it's not very helpful for planning ahead :-) @fwyzard,
The Tensorflow nightly moved to CUDA 12 a few days ago. Could you please take a look at this commit [3de4416 2](https://github.com/tensorflow/tensorflow/commit/3de44168950a5972ba4cfa7e3c6cbf4cffa67fe6).

You can try to use the latest tf-nightly for immediate use-case and it will be made available from TF 2.15.

Thank you! Thank you @tilakrayal , we will start testing it. @fwyzard,
Thank you and Could you please confirm whether the issue can be closed as the required feature is available in tf-nightly. Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/60691">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/60691">No</a>

<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Feature Request

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

tf 2.6.4

### Custom Code

Yes

### OS Platform and Distribution

Red Hat Enterprise Linux 8

### Mobile device

_No response_

### Python version

3.9.14

### Bazel version

3.7.2

### GCC/Compiler version

11.2.1

### CUDA/cuDNN version

12.0.1 / 8.8.0

### GPU model and memory

NVIDIA V100, T4, A100

### Current Behaviour?

According to the documentation, TensorFlow currently supports CUDA 11.8 .

Are there plans and maybe a timeline for adding support for CUDA 12.0 or 12.1 ?

Many thanks,
.Andrea

### Standalone code to reproduce the issue

```shell
n/a
```


### Relevant log output

_No response_</details>