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

Explore what drives blockchain transaction fees lower and how cheaper fees impact adoption, DeFi, and network scalability.

Overview: Modern blockchains use parallel execution to process many transactions without delays.Scaling methods reduce ...

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

Cerebras’ giant chip and other advances in 2025 reflect a post-Moore’s-law shift toward parallel computing and broader AI ...

Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...

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

S2C, MachineWare, and Andes remain committed to advancing verification methodologies and providing scalable, efficient, and robust development tools for the RISC-V community. Together, the companies ...

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 ...

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, ...

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

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