Next-generation GPU-HBM roadmap teases HBM4, HBM5, HBM6, HBM7, HBM8 with HBM7 dropping by 2035 with new AI GPUs using 6.1TB of HBM7 and 15,000W AI GPUs.

However, not all of them compete directly against Micron. While SK Hynix and Samsung develop their own HBM2E, HBM3, and HBM3E, TSMC develops HBM packages based on SK Hynix’s HBMs.

The global HBM market is highly consolidated, with a handful of players in this space. Companies, including SK hynix, TSMC TSM and Samsung, exist in this space. However, not all of them compete ...

During an online presentation Wednesday, KAIST Terabyte Interconnection and Package Laboratory (TERA lab), led by Kim, unveiled the standard technical specifications of HBM4 to HBM8 that will span ...

HBM enables the higher data transfer rates needed to handle the significantly increased data processing generated by parallel computation with the GPU. In the latest generation of HBM, eight to 12 ...

Needham mapped out a pathway to $90 billion in AI revenue for TSMC, and set a new Street-high price target for the ...

Taiwan Semiconductor (TSM) was in the spotlight on Tuesday as investment firm Needham said it sees a pathway to $90B in ...

FormFactor’s first quarter results were positively received by the market, reflecting solid execution despite a challenging ...

KAIST has a roadmap projecting the evolution of high-bandwidth memory from HBM4 to HBM8 through 2038, detailing major gains in bandwidth, capacity, I/O width, power, and even system architecture.

A new KAIST roadmap reveals HBM8-powered GPUs could consume more than 15kW per module by 2035, pushing current infrastructure ...