Why System76 is building linux laptops with nvidia cards?

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  • examples

    TensorFlow examples (by tensorflow)

    Because there are a huge number of people who require access to CUDA for CUDA-accellerated applications. Just look at how NVIDIA with CUDA absolutely destroys AMD with OpenCL at protein folding. Or how NVIDIA has been deeply investing in developing GPU-accelerated libraries, which is continuing to ensure their domination of this domain. CUDA spawned many highly popular ML frameworks, such as Tensorflow and PyTorch. So in short, it's because many of System76's customers are scientists, creators, makers, professionals, etc. that need access to CUDA for one reason or another. There's also of course the occasional PC gamer who wants the highest framerates in games with access to DLSS in popular demanding titles.

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Because there are a huge number of people who require access to CUDA for CUDA-accellerated applications. Just look at how NVIDIA with CUDA absolutely destroys AMD with OpenCL at protein folding. Or how NVIDIA has been deeply investing in developing GPU-accelerated libraries, which is continuing to ensure their domination of this domain. CUDA spawned many highly popular ML frameworks, such as Tensorflow and PyTorch. So in short, it's because many of System76's customers are scientists, creators, makers, professionals, etc. that need access to CUDA for one reason or another. There's also of course the occasional PC gamer who wants the highest framerates in games with access to DLSS in popular demanding titles.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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