Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

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.

What is PyTorch? PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.

Every major deep-learning framework, such as TensorFlow, PyTorch, and others, is already GPU-accelerated, so data scientists and researchers can get up to speed without GPU programming.

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units.

That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

RaNNC was first released in March 2021 and significantly updated for PyTorch Annual Hackathon 2021. To reduce usage of GPU memory, the new feature introduced during the hackathon keeps most ...

Reddio proudly announces the launch of its Mainnet Alpha, bringing the world’s first GPU-Accelerated Parallel EVM architecture to live production ...