megascomnenus

> can you post screenshot of nvidia-smi  Idle state  Ethereum mining state

> You need Cuda11+TensorFlow1.15.2 nv version。 I successfully run DFL on A100, 3080 is the same architecture   Thank you for answer. CUDA 11 + TensorFlow 2.3.0 CUDA 11...

> try this build https://mega.nz/file/WgVX3QZb#mM-4gY87qWHrLON6SbJfeBUmRmNZlhaHOOJWWt-aV3k   The picture above is the version currently installed. CUDA 11, Tensorflow 1.15.2 I downloaded the link you gave and tried, but it doesn't...

>  > Special Tensorflow 1.15.2 version is required, compiled by NVIDIA ，This is very important . I use Ubuntu 18.04. If you use DFL window build , you need...

> last build is tf 15.2 > cuda 10 > cudnn 7.6.0 > version is the same as used in tf 15.2 compilation then CUDA 10 (not 10.1) TensorFlow 1.15.2...

> you don't need to install anything when using DFL builds. if so, can I stop trying and wait for the DFL to be updated?

> currently there is no solution how to run 3080 with DFL. Because tensorflow doesn't support it. Then I have to wait until TensorFlow supports DFL to operate RTX 3080....

> how about the version of tf @dream80 mentioned? That version, as far as I know, is for Linux only. I can't use it because I use Windows.

I found that the RTX 3000 only works properly with CUDA 11.1, which was updated on Sep, 23. But, as far as I know, even the latest version of TensorFlow,...

I'm not sure, but there are some sayings that TensorFlow 1.15 can support cuda 11.1. https://news.developer.nvidia.com/developer-blog-accelerating-tensorflow-on-nvidia-a100-gpus/ He succeeded in running Tensorflow 1.15 with the RTX 3000. https://www.pugetsystems.com/labs/hpc/RTX3090-TensorFlow-NAMD-and-HPCG-Performance-on-Linux-Preliminary-1902/