Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

Asus graphics cards is currently celebrating its 30th anniversary and after having produced and innovated within the GPU space for the past three decades, the tech giant is releasing a ROG Matrix ...

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

The challenge of running simulation and high-performance workloads efficiently is a constant issue, requiring input from stakeholders including infrastructure teams, cybersecurity professionals, and, ...

The NIST-800 security framework sets the tone of "never trust, always verify," emphasizing the concepts of least privilege and continuous monitoring. This becomes especially important and relevant in ...

Spectro Cloud, a Goldman Sachs–backed (NASDAQ:GS) startup valued at about $750 million, announced on Tuesday that it entered a strategic partnership with Nvidia (NASDAQ:NVDA) to address one of the ...

NVIDIA (NVDA) NVQLink high-speed interconnect lets quantum processors connect to world-leading supercomputing labs including Brookhaven National Laboratory, Fermi Laboratory, Lawrence Berkeley ...

Seismic workloads are limited by memory, causing GPU compute units to stay idle. Dataflow computing enhances utilization and efficiency for seismic HPC workloads. Maverick-2 enables seismic ...

As the use of GPUs continues to rise in fields like deep learning, we thought it would be useful to readers not yet familiar with this technology to offer the “Introduction to GPU Computing” ...

NVIDIA has introduced the Space-1 Vera Rubin Module, bringing powerful AI computing to satellites and orbital systems so ...

Briefing: This article will introduce several AI chip companies with unique technologies. They either have advanced computing concepts, or have the top architects. These AI chips with new ...