The evolution of DDR5 and DDR6 represents a inflexion point in AI system architecture, delivering enhanced memory bandwidth, lower latency, and greater scalability.
This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...
With just four teams left alive in the College Football Playoff, many fans of misfortunate squads have turned their attention to the next phase of their teams’ futures: transfer portal season! In the ...
TL;DR: KIOXIA will showcase its advanced memory and SSD solutions at CES 2026, highlighting scalable BiCS FLASH 3D technology, AI-optimized SSDs, high-speed Automotive UFS 4.1, and the new BG7 Series ...
Dresden’s FMC secures €100 million to develop low-energy memory chips for AI and data-center markets
A Dresden-based semiconductor pioneer, named FMC, has successfully raised investments to the tune of €100 million to enable the technology upgrade of memory chip technology, which will focus on future ...
Micron, one of the leading manufacturers of computer products, has announced that it’s leaving the Crucial consumer business in favor of a stronger focus on AI. The company will continue to ship ...
Dec 3 (Reuters) - Memory chipmaker Micron Technology (MU.O), opens new tab said on Wednesday it will exit its consumer business, as it doubles down on advanced memory chips used in artificial ...
Intel is planning to sock it to AMD's dominant X3D CPUs with a 52-core version of its upcoming Nova Lake processor. Incredibly, it's claimed the chip will pack 288 MB of last-level vertical cache ...
The last decade-plus has seen a wealth of advancements designed to secure data at the microprocessor level, but a team of academic researchers recently punched through those defenses with a tiny ...
Micron Technology, Inc (NASDAQ:MU) has begun customer sampling of its 192GB SOCAMM2 (small outline compression attached memory modules), designed to accelerate adoption of low-power memory in AI data ...
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