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JanuszL avatar JanuszL commented on August 29, 2024

Hi,
The requirements are:

Ubuntu 18.04 or later (64-bit)
GPU support requires a CUDA®-enabled card
For NVIDIA GPUs, the r450 driver must be installed

So that could be a reason why it doesn't work on RHEL 7.

from tensorflow.

surak avatar surak commented on August 29, 2024

We have 4 thousand A100 gpus in a single system. I won't change the OS because someone at NVidia can't fix a bug where things are hardcoded.

This can be closed if the kind of fix is like that.

from tensorflow.

JanuszL avatar JanuszL commented on August 29, 2024

someone at NVidia can't fix a bug where things are hardcoded.

It is more than that. nvidia-tensorflow is build using Ubuntu 18.04 system so all dependencies - linked, libraries, and their versions depend on this.
Making it distribution independent is not an easy task - you can read more about this in PEP. We are aware of this limitation, we have a few ideas on how to address it but it is hard to commit to any official timeline.
Still, you can use a containerized environment.

from tensorflow.

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