High-capacity DDR5 memory prices surged sharply, creating new theft targets Thieves in South Korea only stoles DDR5 modules, ignoring all other office hardware 32GB DDR5-5600 kits reached roughly $800 ...

SEOUL, South Korea--(BUSINESS WIRE)--Samsung Electronics Co., Ltd., the world leader in advanced memory technology, today announced that it has developed the industry's first High Bandwidth Memory ...

I can't say I disagree, really. The problem is AI. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

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 ...

High-capacity DDR5 prices quadrupled within weeks during the quarter of 2025 Both DDR5-5600 and DDR5-6000 moved in lockstep despite different specifications Early 2026 data indicate that sharp weekly ...

The Sanskrit word "Yuj" is where the word "yoga" originates. Yoga involves more than merely performing asanas for health. It has deeper meaning since it gives you the power to conquer many challenges ...

If you had put all your savings into a few pallets of computer memory chips a year ago, you’d have at least doubled your money by now. And prices are projected to continue their meteoric rise.

Tech companies have raced to build out compute capacity to fuel their AI ambitions but are now faced with a new bottleneck: memory capacity. The crunch comes as workloads shift from training models to ...

The ongoing memory supply crunch due to insatiable data center demand will likely create risks across the PC, smartphone and automotive markets in 2026, according to KeyBanc. "With data center bit ...

Micron Technology, Inc. (NASDAQ:MU) is one of the AI Stocks Gaining Attention on Wall Street. On January 7, Piper Sandler maintained its Overweight rating on the stock and increased its price target ...

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...