
Will CUDA remain a monopoly for GPU software through 2027?
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NVIDIA's CUDA is a proprietary closed source parallel computing platform and application programming interface (API) that allows software to use certain types of GPUs for general purpose processing
all the major deep learning frameworks like TensorFlow, PyTorch, Caffe, Theano and MXNet added native support for CUDA GPU acceleration early on.
This created a self-reinforcing virtuous cycle — CUDA became the standard way of accessing GPU acceleration due to its popularity and support across frameworks, and frameworks aligned with it due to strong demand from users. Over time, the CUDA programming paradigm and stack became deeply embedded into all aspects of the AI ecosystem.
End date : Jan 1 2027
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