# How to run a model in an application using gpu (without CUDA)

I am looking for a way to utilize a computer’s gpu without using cuda (or any installable software). The reason for this is I have an application where the neural network runs on a user’s computer and I can’t assume they will have the knowledge/ spend the time and effort to install CUDA. I see that it is possible to utilize the gpu using WebGL but from my reading, it sounds like due to other limitations with this approach it is not actually faster than using cpu. Does anyone know how to do this maybe using openCL or some other way to do it?

I'm pretty sure that you will need CUDA to use the GPU, given you have included the tag tensorflow. All of the ops in tensorflow are written in C++, which the uses the CUDA API to speak to the GPU. Perhaps there are libraries out there for performing matrix multiplication on the GPU without CUDA, but I haven't heard of a deep learning framework that doesn't use CUDA, when executing on the GPU.