Google Reportedly Researching to Make TPU More Compatible with AI Software Framework PyTorch, Aiming to Become Viable Alternative to Nvidia GPU
Alphabet (GOOGL.US)'s Google is advancing a project codenamed TorchTPU, Reuters quoted sources as saying.
This initiative aims to make its TPU AI chips better suited for the world's most widely used AI software framework, PyTorch, ensuring full compatibility with customers who have already built their technology architecture based on PyTorch, with an effort to make its TPU a viable alternative to Nvidia (NVDA.US)'s GPU.
PyTorch is an open-source project supported by Meta Platforms (META.US), and is one of the most commonly used tools by AI model developers. The project consists of a set of pre-written code libraries and frameworks that automate many common tasks in developing AI software.
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