TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0
I found this report. But for them it was not working. For me it is working but takes a long time to start: https://github.com/tensorflow/tensorflow/issues/60739 @RocketRider Could you please try to recompile TensorFlow with support for CUDA compute capability 9.0. To do this, you will need to install the CUDA toolkit and the cuDNN library. You can then recompile TensorFlow using the following command:
```
pip install tensorflow-gpu --upgrade --user
```
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?
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### Issue type

Performance

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

binary

### TensorFlow version

TF 2.15.0_rc0

### Custom code

Yes

### OS platform and distribution

Ubuntu 22.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Tested with TF 2.15.0_rc0 on a Machine with 8xH100.
I do get the warning "TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer."
Is it then using the full potential of the GPUs?
It takes really long to start a training.

Could you update the binaries to be compatible with compute capability 9.0?


### Standalone code to reproduce the issue

```shell
start tensorboard
```


### Relevant log output

```shell
TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
```
