A lot of people will tell you that PyTorch is for NVIDIA GPUs, but that's not actually true. PyTorch is platform-agnostic; it's just that many packages built on PyTorch make heavy use of NVIDIA's CUDA ...

PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI (the Facebook owner's AI research arm) in 2016, it is now maintained under ...

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

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

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

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

Challenges against NVIDIA, which dominates the AI, artificial intelligence chip market, are intensifying. Major tech ...