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Novel AI semiconductor uses hydrogen ions for learning and memory
A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in ...
Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
High Bandwidth Memory (HBM) is the commonly used type of DRAM for data center GPUs like NVIDIA's H200 and AMD's MI325X. High Bandwidth Flash (HBF) is a stack of flash chips with an HBM interface. What ...
Non-volatile memory is an important component in a wide range of high-performance embedded applications. Especially, many consumer, industrial, and medical applications need increased re-writability ...
The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.
TL;DR: G.SKILL has launched its first 64GB DDR5 modules, unveiling a 128GB DDR5-8000 memory kit with dual 64GB modules. This marks a significant advancement from the previous 48GB module limit. The ...
New market research suggests memory prices may not drop even in the second half of 2027, as demand from AI infrastructure continues to strain global DRAM and NAND supply. The post Memory prices may ...
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