Quantum computing could be a $200 billion market by 2040. These AI leaders will likely play a significant role in it.

AI and data intelligence solutiosn compa ny DDN  today announced that Google Cloud Managed Lustre, a managed, - Read more ...

Parallel Works launched Activate AI, a new control plane for deploying and managing AI and ML workloads that require ...

Chinese researchers have developed the first highly parallel optical computing integrated chip, named “Meteor-1”, setting a milestone for using light to perform an enormous number of ...

There are lots of potential ways to arrange different combinations of data and measurement qubits for this to work, each referred to as a code. But, as a general rule, the more hardware qubits ...

What is CUDA programming, exactly? According to Nvidia, CUDA is a parallel computing platform and programming model that enables developers to write code and build applications on Nvidia's GPUs.

Quantum computing, like AI (i.e., deep learning) a decade ago, is yet another emerging technology with an exceptional affinity with Nvidia’s core product, the GPU.

Posted in Microcontrollers Tagged cluster computing, cray, cray-1, mandelbrot, parallel computing, Raspberry Pi Pico, rp2040 ...

At The University of Texas at Austin, Pingali is the W.A. "Tex" Moncrief Chair of Grid and Distributed Computing and a professor in the Department of Computer Science and core faculty in the Oden ...

AI and data: Get ready for extreme parallel computing Headline news and analysis: Breaking Analysis: How Nvidia is creating a $1.4T data center market in a decade of AI ...

Quantum computing — the result of decades of research into a type of physics called quantum mechanics — is still an experimental technology. But Google’s achievement shows that scientists ...

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.