Kaist professor Kim Jeong-ho predicts HBF overtakes HBM as AI memory by 2038 Memory-centric AI era accelerates as Kaists Kim ...

While the broader stock market has spent years fixated on the processors that allow artificial intelligence (AI) to think, a ...

Building on these advancements, the new devices achieve substantial performance increases. They boost sequential write speeds by 25%, random read speeds by 90%, and random write speeds by 95% compared ...

Professor Kim Joung-ho of the Korea Advanced Institute of Science and Technology (KAIST), known for devising the basic ...

As the artificial intelligence market pivots toward inference, Samsung Electronics and SK hynix are moving to develop ...

KIOXIA's new UFS 4.1 (Universal Flash Storage) embedded memory for mobile devices is now sampling, with improvements to performance and efficiency.

In the AI era, 100TB of memory per person will be required. It’s the so-called ‘memory-hungry’ era. In the future AI era, ...

Strengthening Supply Chain Resilience and Security : By procuring directly from tier-one wafer and chip manufacturers, AGMH mitigates risks related to geopolitical tensions and market volatility, ...

AGM Group Holdings Inc. (NASDAQ: AGMH, "AGMH" or the "Company"), a technology company focus on high-performance computing and frontier innovation, today launched ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

Kioxia is sampling UFS (Universal Flash Storage) 4.1 embedded memory devices with 4-bit-per-cell, quadruple-level cell (QLC) technology.

Breakthrough turbulent flow technology eliminates semiconductor manufacturing's most stubborn bottleneck, enabling high-speed ...