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New reconfigurable memristor-based system enables in-memory data sorting

"The original idea comes from the fact that although operations like matrix multiplication and convolution have been widely implemented in CIM (Computing-in-Memory) systems, sorting has long been ...
Seeking Alpha

Compute-In-Memory APU Achieves GPU-Class AI Performance at a Fraction of the Energy Cost

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
TechSpot

SK hynix edges out rivals with first-to-market HBM4 chips for Nvidia and others

What just happened? SK hynix is preparing to begin mass production of its HBM4 chips, marking a major step forward in memory technology tailored for AI data centers. The South Korean company has ...
Nasdaq

Compute-In-Memory APU Achieves GPU-Class AI Performance at a Fraction of the Energy Cost

The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...