Tensorflow-gpu version 2.12.0 is not available
tensorflow doesn't support  native gpu on windows since 2.11 @Sun-kangning,
TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install [TensorFlow in WSL2](https://tensorflow.org/install/pip#windows-wsl2), or install tensorflow-cpu and, optionally, try the [TensorFlow-DirectML-Plugin](https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-)

Kindly find the official doc link for the reference.
https://www.tensorflow.org/install/pip

Thank you! I will try Linux system, thanks for your reply! The `tensorflow` and `tensorflow-gpu` packages are the same since TF 2.1.0. To conserve space on PyPI, the redundant package has been removed. Please consult the release notes, it is the first item mentioned there: https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0


@tilakrayal and @123mbcz123 have provided incorrect answers for this issue Ok, thank you very much for your reply! Tensorflow2.12.0 using GPU. What versions of cuda and cudnn are required?
Windows11,  Python3.10.10.  I'm using cuda12.1.0 and cudnn8.8.1.3 and can't drive the GPU. Same issue. Tf 2.12, Python 3.10, Windows 11, cuda12.1, cudnn 8.9.0 with Nvidia RTX 3060 for laptops. DeviceQuery result was PASS. Tensorflow output is just my CPU with no GPU detected. Been years and I've never seen one CUDA install smooth at first try. Are you using WSL? #59918 Win11，Not WSL

https://pypi.org/project/tensorflow-gpu/#description

 See note at top of 2.11.1 (which applies to 2.11.0 and 2.12.0 too): https://github.com/tensorflow/tensorflow/releases/tag/v2.11.1 Please follow the tested build configurations published [here](https://www.tensorflow.org/install/source_windows#cpu) for windows CPU and GPU, as mentioned in above comments, 2.10 was the last last Tensorflow version which supported GPU on native windows.

If you are trying with the `Windows-WSl2` installation https://www.tensorflow.org/install/pip#windows-wsl2 then you can try with the `cuDNN 8.6`, `CUDA 11.8` and `python version 3.8-3.11` 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/60241">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/60241">No</a>
 I have Nvidia GeForce 720m can I use it for training with tensorflow 2.12.0
 Which version of cuda and cudnn are you using?
<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Build/Install

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

No

### Source

source

### Tensorflow Version

tf2.12.0

### Custom Code

No

### OS Platform and Distribution

Win11

### Mobile device

_No response_

### Python version

3.10.10

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
No version 2.12.0 of the tensorflow-gpu was found.
```


### Standalone code to reproduce the issue

```shell
Not have
```


### Relevant log output

_No response_</details>