Today we have released update of the GCE Deep Learning images.

What is Deep Learning images?

Can I have a look on official documentation?

Some of the most noticeable changes are (links are pointing to more detailed articles):

PyTorch now uses CUDA 9.2 (previously it was using CUDA 9.1)

Please note that now you need to use the following image families: pytorch-latest-cu92 , pytorch-0–4-cu92

Please note that now you need to use the following image families: pytorch-latest-cu92 , pytorch-0–4-cu92 Images now can be used as a Colab backend (yes, now you can use PyTorch in Colab!)

From now on we are pre-baking our custom TensorFlow binaries on the image, therefore these binaries can be used with virtual environments and/or Anaconda environments

Configuration of the TensorFlow build slightly update and now has improved time for first import and slightly improved speed performance

TF Serving now integrated with TF images

Updated cheatsheet (only change is pytorch-latest-cu92 family name):

Updated PyTorch. We now have PyTorch 0.4.1 that comes with CUDA 9.2 support. On my personal benchmark this combination shows 1.5–10% speed improvements. You can create new instance with the following command: