Samsung and Sandisk are set to integrate rival HBF technology into AI products from Nvidia, AMD, and Google within 24 months, and that's a huge deal

Professor Kim Joungho of the Department of Electrical and Electronic Engineering at the Korea Advanced Institute of Science and Technology (KAIST) is giving a presentation at the Small and Medium Business Future Forum held in Yangjae-dong, Seocho-gu.

• HBF offers ten times HBM capacity while remaining slower than DRAM
• GPUs will access larger data sets through tiered HBM-HBF memory
• Writes on HBF are limited, requiring software to focus on reads

The explosion of AI workloads has placed unprecedented pressure on memory systems, forcing companies to rethink how they deliver data to accelerators.