particularly for tasks that require high levels of parallel processing, such as graphics rendering, machine learning, and scientific simulations. Recent research in GPU computing has focused on ...

The research compared different GPU ... how parallel processing, particularly through GPUs, can dramatically reduce running times. By utilizing advancements in microprocessor architecture, the ...

D eepSeek made quite a splash in the AI industry by training its Mixture-of-Experts (MoE) language model with 671 billion ...

based company on Monday uncovered the first GPU designs to use the Blackwell architecture, which it said comes with “six transformative technologies for accelerated computing” that will “hel ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Powered by GPU-accelerated parallel EVM technology and designed to enable AI capabilities, Reddio’s innovative architecture ...

The AMD unified shader architecture that debuted in the Xbox 360 ushered in a new era for the graphics processing unit (GPU).

Pipeshift has a Lego-like system that allows teams to configure the right inference stack for their AI workloads, without extensive engineering.

That’s prevented HPC parallel file systems from really being a viable option in the enterprise.” To power enterprise AI initiatives in GPU computing requires a new architecture, which ...