The computing demands of modern applications, especially those making heavy use of AI, are extending pressure beyond design ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

This change is characterized by the convergence of high-performance computing (HPC) and AI workloads, which is driving ...

Funded through a $2.1 million National Science Foundation (NSF) grant, IceCore will replace UVM's six-year-old DeepGreen GPU ...

TPUs, on the other hand, are specialized in the sense that they only focus on certain processes. You can’t run a computer on ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was ...

The rise of generative AI has ushered in a wave of unprecedented revenue and profit growth for chip designers. Shares of ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

Google is reportedly in talks to sell its tensor processing units – a type of computer chip specially designed for AI – to other tech companies, a move that could unsettle the dominant chip-maker Nvid ...

Over the years there have been a few CPUs designed to directly run a high-level programming language, the most common ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Nvidia has been the leading AI stock ever since the infrastructure spending surge began in early 2023, and the success of its ...