Axelera AI enables edge AI applications with a novel chip architecture that takes advantage of the startup’s proprietary in-memory computing and RISC-V controlled dataflow technologies.

AI's next battleground is chip supply control. Elon Musk highlighted the importance of semiconductor production for the US.

The semiconductor industry is the silent force behind modern innovation, powering everything from the smartphones in our ...

Comment With the exception of custom cloud silicon, like Google's TPUs or Amazon's Trainium ASICs, the vast majority of AI ...

Yet, amidst this technological arms race, challenges loom ... to shape the future of the AI chip industry: As AI applications expand, the shift towards edge computing will gain prominence.

The demand for differentiated, optimized AI chip architectures remains high if the ... which is targeted at edge AI applications. The Redwood City, Calif.-based company recently said that it ...

The chip giant is preparing new "Rubin" and "Feynman" architectures to help companies address generative AI's skyrocketing ...

Win for video-generation AI model based on off-the shelf chip marks a first for China and a shift in global race to optimise ...

According to AMD, the Instinct MI350 series accelerators, built on the CDNA 4 architecture ... not the end of the AI race.” ...

The world's second most valuable company has been the top beneficiary of an AI-driven spending ... if Nvidia's cutting-edge chips are essential for gaining an edge in AI race.

This will allow AI to have greater impact and control when its deployed on connected devices such as internet of things systems and industrial robots. The new Titania chip is the latest iteration ...

In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks taking Wall Street by storm. The race to gain a competitive edge in the ...