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MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes
Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.
Morning Overview on MSN
MIT’s chip stacking leap could slash energy use for hungry AI chips
Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
The next generation of high-bandwidth memory, HBM4, was widely expected to require hybrid bonding to unlock a 16-high memory ...
SK Hynix and Taiwan’s TSMC have established an ‘AI Semiconductor Alliance’. SK Hynix has emerged as a strong player in the high-bandwidth memory (HBM) market due to the generative artificial ...
TL;DR: SK hynix CEO Kwak Noh-Jung unveiled the "Full Stack AI Memory Creator" vision at the SK AI Summit 2025, emphasizing collaboration to overcome AI memory challenges. SK hynix aims to lead AI ...
Samsung last month unveiled a SOCAMM2 LPDDR5-based memory module designed specifically for AI data center platforms.
Samsung Electronics is currently dedicated to the R&D of 11nm level DRAM and ninth-generation 3D NAND Flash. The goal is to raise integration to the highest level in the industry, realize its existing ...
The mighty GPU is shaping up to be one of the most significant innovations of human technology during the last few decades. While games such as Alan Wake 2 demonstrate visual chops that can often ...
Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
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