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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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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.