A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

import torch from torch import Tensor from torch.distributed.tensor import ( DTensor, DeviceMesh, distribute_tensor, init_device_mesh, Partial, Replicate, Shard ...

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Forbes contributors publish independent expert analyses and insights. Originally developed by Anyscale, Ray is an open source distributed computing framework for AI workloads, including data ...

Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...

SAN FRANCISCO, Oct. 22, 2025 /PRNewswire/ -- PyTorch Conference – The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, today announced that it has welcomed Ray ...