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Fantastic news! Previously, Windows users had to install and set up Docker (which involves setting up a virtual machine) to get it working. That took me nearly a day to get it all configured (thanks to complicated proxy settings at work).

And even then, there wasn't a good way for Tensorflow in a Docker container in a virtual machine to access the GPU.

I'm excited about this release!

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Tensorflow also runs fine in Bash on Windows, although without GPU acceleration.

Yep, tensorflow was actually the reason I tried WSL. In my case, compiling tensorflow in WSL is also a lot faster than doing the same in Windows with CMake/MSBuild.

What you saved in compile time, you lost in runtime if you have a GPU.

If you're using a Virtual Machine, why would you need Docker? I think you can get GPU acceleration in a VM.

I think there is no PCIe passthrough for Windows hosts on Virtualbox, and that's required for using CUDA on a VM. You can get graphics acceleration on a VM under any kind of host, but it uses a virtual graphics card from Virtualbox instead of your actual card, so it does not work with CUDA.

This is correct, Linux works much. After for PCIe passthrough in VMs, both Virtualbox and VMware.

Very glad it's now on Windows though! Time to tinker once again.

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