Problem I am trying to see the how much GPU could help to accelerate my code by ArrayFire.jl. However, I currently do not have access to GPU on my machine. I have tried two different ways Try to use the integrated Intel GPU. However, the following error keeps bumping up and I am not sure how to re…

If the problem is worth a few cents to you and you have a credit card i can recommend. vast.ai They are an PC with GPU peer-lending platform which has lower rates than other cloud services since they offer consumer GPUs. To run julia on them select the image [nvidia/cuda:9.0-cudnn7-devel-ubuntu1…

[image] Mr.Robot: I am trying to see the how much GPU could help to accelerate my code by ArrayFire.jl . If using Nvidia GPUs, you might find it easier to use CuArrays.jl, which is integrated more into the Julia compiler.

I had never heard of them before. It is good idea but I wonder how NVIDIA feels about its consumer GPUs are used in such a setting. Maybe this is the reason the website does not seem to provide any information about people working there? Or perhaps I was not able to find it?

@hckr NVIDIA has little to feel about. Peoples private homes (where these PCs supposedly stand) are not data centers. However the creators were quiet active on reddit . There also is a Discord Server.

Cloud computing environment that supports Julia

General Usage

nilshg May 1, 2019, 7:34pm 2

Haven’t tried it myself but maybe this helps? Julia on Google Colab: Free GPU-Accelerated Shareable Notebooks

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Cloud computing environment that supports Julia

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