XDA Developers on MSN
That unused RAM in your server could be speeding it up instead
Assuming you have that many memory kits during the RAM-apocalypse ...
The Register on MSN
Server CPUs join memory in the supply shortage, pushing up prices
Silicon manufacturing issues to blame Datacenter servers will face a double whammy this year as CPU supply constraints pile ...
Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...
SK Hynix, Samsung Electronics Co. Ltd. (OTC: SSNLF), and global rivals, including Taiwan Semiconductor Manufacturing Company Ltd. (NYSE: TSM) and Micron Technology Inc. (NASDAQ: MU), are accelerating ...
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 ...
Samsung Electronics Co.’s quarterly profit more than tripled to a record high after global demand for AI servers sharply lifted memory chip prices. South Korea’s largest company reported a preliminary ...
While Apple hasn't done anything yet, the company is heading into 2026 with dramatically escalating memory and chip costs, as it aims to keep product pricing steadier than rivals. The issue matters ...
Samsung Electronics (SSNLF) and SK hynix (HXSC.F) are looking to raise prices for server memory by up to 70% in the first quarter, while a surging demand in AI impacts global supply, The Korea ...
After the release of November monthly sales from several Taiwan-based tech suppliers, investment firm Wedbush Securities said server and memory components continued to show exceptional strength.
TL;DR: SK hynix's new 256GB DDR5 RDIMM server memory modules, based on 32Gb DRAM, are officially verified for Intel's Xeon 6 platform, delivering up to 16% better inference performance and 18% ...
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Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers’ pivot to AI chips and Nvidia’s memory-intensive AI server platforms, leaving enterprises with limited procurement leverage.
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