据AIbase报道，为挑战英伟达（NVIDIA）在AI芯片市场的统治地位，Alphabet（谷歌母公司）正在推进一项名为“TorchTPU”的战略计划。该计划旨在显著提高其张量处理器（Tensor Processing Unit, TPU）芯片与PyTorch框架的兼容性，从而降低开发者从英伟达GPU切换到谷歌TPU的技术壁垒和迁移成本。

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

点击上方“Deephub Imba”,关注公众号,好文章不错过 !单机 PyTorch 模型跑推理没什么问题，但数据量一旦上到万级、百万级，瓶颈就暴露出来了：内存不够、GPU 利用率低、I/O ...

Alphabet Inc. (NASDAQ:GOOGL) is among the 14 Best S&P 500 Stocks to Buy Now. According to a Reuters report on Wednesday, ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

Google teams up with Meta to boost PyTorch support for TPUs, offering developers an alternative to Nvidia-powered AI ...

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

The CUDA Moat: Wall Street analysts often cite Nvidia’s CUDA software as its primary competitive advantage. By natively ...

Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python language and the PyTorch library on Windows, and how to create and ...