Google aims to remove a significant obstacle that has limited the broader adoption of its chips by outside developers.

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Google develops TorchTPU to make PyTorch run more smoothly on TPUs, aiming to challenge Nvidia, broaden cloud AI workloads, ...

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Google is reportedly planning to reduce Nvidia's dominance in AI hardware. The company is said to be working with Meta to make its TPUs more compatible with PyTorch, a widely used AI framework. The ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead with Meta's collaboration.