There is a growing need to execute ML models on edge devices to reduce latency, preserve privacy, and enable new interactive use cases. The PyTorch Mobile runtime beta release allows you to seamlessly ...
TorchStore provides a distributed, asynchronous tensor storage system built on top of Monarch actors. It enables efficient storage and retrieval of PyTorch tensors across multiple processes and nodes ...
Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
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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