I have a plan to use distributed TensorFlow, and I saw TensorFlow can use GPUs for training and testing. In a cluster environment, each machine could have 0 or 1 or more GPUs, and I want to run my TensorFlow graph into GPUs on as many machines as possible.
How do I use TensorFlow GPU version instead of CPU version in Python 3.6 x64?
I installed CUDA toolkit on my computer and started BOINC project on GPU. In BOINC I can see that it is running on GPU, but is there a tool that can show me more details about that what is running on GPU – GPU usage and memory usage?
How can I turn off Hardware Acceleration in Linux, also known as Direct Rendering. I wish to turn this off, as it messes with some applications like OBS Studio which can’t handle capturing of hardware acceleration on other applications since it’s enabled for the entire system. Certain apps can turn it on and off, but can’t do this for desktop and other apps.