Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the world’s most widely used AI software framework, in a move aimed at weakening ...
Google is enhancing its AI chips to improve compatibility with PyTorch, aiming to challenge Nvidia's dominance in the AI computing market.
Most artificial intelligence applications make a call to a server to access a large language model. That can be slow and energy-intensive, and it requires an internet connection. One significant trend ...
Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
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