If you've ever wondered what a Tensor Core is then you're not alone. Whether you're in the market for a new graphics card or ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

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 ...

A new RISC-V Tensor Unit, based on fully customizable 64-bit cores, claims to provide a huge performance boost for artificial intelligence (AI) applications compared to just running software on scalar ...

An artificial-intelligence approach known as AlphaTensor found exact matrix-multiplication algorithms that are more efficient than those previously known for many matrix sizes. The technique advances ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...