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 ...
Feature Remember when high-performance computing always seemed to be about x86? Exactly a decade ago, almost nine in ten supercomputers in the TOP500 (a list of the beefiest machines maintained twice ...
The rise of generative AI has ushered in a wave of unprecedented revenue and profit growth for chip designers. Shares of ...
Let's look at two growth stocks to buy and hold for the next five years.
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, ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Over the years there have been a few CPUs designed to directly run a high-level programming language, the most common ...
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