Sign in
Categories
Migration Mapping Assistant Your Saved List Partners Sell in AWS Marketplace Amazon Web Services Home Help

Tensorflow was not using GPU

  • By Belkacem
  • on 06/13/2018

I used this AMI for 40 Hours.
and I found out why my models were very slowly trained :
tensorflow/core/common_runtime/gpu/gpu_device.cc:1 406] Ignoring visible gpu device (device: 0, name: GRID K520, pci bus id: 0000:0 0:03.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum r equired Cuda capability is 3.5.

env
conda/3python 3.6/tensorflow
I used a GX2 instance for nothing.
Thanks a lot for the time lost


  • By QuadO
  • on 01/26/2019

You need to use a P3 instance....

  • By aws-qiqiao
  • on 01/16/2019

Hi Belkacem, Thanks for choosing DLAMI Ubuntu. Amazon EC2 g2 instance type is no longer supported by the Deep Learning AMI. Please look at Deep Learning AMI EC2 instance selection guide for supported Amazon EC2 instance types. I checked CUDA Capability in g3 instance with DLAMI ubuntu v20.0, and got CUDA Capability Major/Minor version number: 5.2, which should solve your problem. Thanks. aws-qiqiao