Completely independent dual GPU setup for VR with 100% “SLI efficiency”?
I have a question regarding dual GPU use for Virtual Reality (VR); for years now I tried, every now and then, to find an answer by reading/searching the web, but every time in vain – hence finally this post:
Hardware accelerated text processing
Graphics processing units (GPUs) are very common and allow for efficient, parallel processing of floating point numbers.
PPUs (Physics Processing Units) used to be a buzzword several years ago but never really caught on and this kind of calculation is now handled by GPUs as well.
Both of these types of hardware are specialized in the processing of a specific kind of data.
Why do I run tensorflow code, and the GPU utilization is 0?
The CPU usage is high and the memory usage is high, but the GPU utilization is 0.
I ran the code： tf.config.list_physical_devices(‘GPU’);
The result is that my GPU information can be seen.
NeRF studio Multi gpu setting
I want to run Nerfstudio in a multi-GPU environment.
Utilizing GPU in MacBook Pro M1 for ML Models in Jupyter Notebook
I am using a MacBook Pro M1 model for running machine learning (ML) models in Jupyter Notebook. I would like to know if this setup automatically utilizes the MacBook’s default GPU for computations, or if there are additional settings or configurations needed to enable GPU usage.