this post was submitted on 16 Mar 2024
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    It's necessary for my very important hobby of generating anime nudes.

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    [–] RustyShackleford@programming.dev 27 points 8 months ago* (last edited 8 months ago) (2 children)

    Earlier in my career, I compiled tensorflow with CUDA/cuDNN (NVIDIA) in one container and then in another machine and container compiled with ROCm (AMD) for cancerous tissue detection in computer vision tasks. GPU acceleration in training the model was significantly more performant with NVIDIA libraries.

    It's not like you can't train deep neural networks without NVIDIA, but their deep learning libraries combined with tensor cores in Turing-era GPUs and later make things much faster.

    [–] lemmeee@sh.itjust.works 3 points 8 months ago* (last edited 8 months ago)

    AMD is catching up now. There are still performance differences, but they are probably not as big in the latest generation.