AWS DLAMI - GPUs not showing up for Keras
This was resolved by uninstalling, then reinstalling tensorflow-gpu through the conda environment provided by the AMI.
I have created a DLAMI (Deep Learning AMI (Amazon Linux) Version 8.0 - ami-9109beee on g2.8xlarge) and installed jupyter notebook to create a simple Keras LSTM. When I try to turn my Keras model into a GPU model using the multi_gpu_model function, I see the following error logged:

Ignoring visible gpu device (device: 0, name: GRID K520, pci bus id:
  0000:00:03.0, compute capability: 3.0) with Cuda compute capability
  3.0. The minimum required Cuda capability is 3.5.

I've tried reinstalling tensorflow-gpu to no avail. Is there any way to align the compatibilities on this AMI?