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

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

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

What if you'd invested in Nvidia (NVDA) ten years ago? It may not have been easy to hold on to NVDA for all that time, but if you did, how much would your investment be worth toda ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company'), a technology service provider, launched a brand-new FPGA-based quantum computing simulation framework founded on a serial-parallel ...

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

Google wasn’t the only company to make fast-charging a meaningful addition to one of its 2025 products. Apple’s iPad Pro M5 is the first iPad to support the feature, and while in our testing it fell a ...

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, ...

Nvidia's GPUs are still the best computing option available. The company has delivered incredible growth in 2025. The stock ...

TPUs, on the other hand, are specialized in the sense that they only focus on certain processes. You can’t run a computer on a TPU: these chips are meant for fast tensor/matrix math. They don’t aim to ...

Nvidia's dominance in the AI accelerator space could slip simply because it can't keep up with demand.

The rapid acceleration of artificial intelligence has pushed demand for high-performance GPUs far beyond global supply. These ...