Over the last few decades, Intel's x86 architecture has ruled the world of computing, powering everything from the most basic laptop to the most powerful data center machines. However, a quiet ...
A decade ago, it might’ve sounded backward to propose that smartphone technology would inform computer hardware, but that’s become a reality in 2025, thanks to Apple, MediaTek, and Qualcomm. Arm, the ...
If you've been paying attention to smartphones and computers, you've probably heard people refer to ARM processors with increasing frequency. First developed by a small team of researchers in the ...
We recently published a list of 13 AI News and Ratings You Probably Missed. In this article, we are going to take a look at where Arm Holdings plc (NASDAQ:ARM) stands against other AI stocks. As per a ...
BOSTON--(BUSINESS WIRE)--The Arm-based mobile computing chip market (smartphones, tablets and notebook PCs) grew 27 percent to $35.1 billion in 2021, according to Strategy Analytics' Handset Component ...
Arm has introduced a series of developer tools and services designed to support rapid migration of x86 apps to Arm architecture Arm Holdings expects its architecture will account for half of the data ...
As we have been saying for quite some time, when it comes to datacenter CPUs, we think that homegrown Arm processors (as well as those made by independents Ampere Computing and Huawei Technologies) ...
ARM hasn't taken any significant space in the server market to-date, and Linus Torvalds thinks he knows why. Hardware performance isn't the reason. Share on Facebook (opens in a new window) Share on X ...
Cerence AI partners with Arm to enhance CaLLM Edge using Arm's Kleidi software for advanced AI capabilities in vehicles. Cerence Inc. has announced a strategic partnership with Arm to enhance its ...
Predictability of future earnings is rarely a feature of semiconductor stocks, but Arm Holdings plc is an extreme case in that regard. Recent share price performance is heavily influenced by ...
Arm Holdings plc ARM has emerged as a cornerstone of artificial intelligence innovation, driving efficiency and scalability across every layer of computing, from edge devices to massive data centers.