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 ...
Hosted on MSN

The associative processing unit wants to displace Nvidia's GPU as the go-to AI powerhouse by putting compute in the memory itself

GSI Gemini-I APU reduces constant data shuffling between the processor and memory systems Completes retrieval tasks up to 80% faster than comparable CPUs GSI Gemini-II APU will deliver ten times ...
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 ...
Digi Times

DRAM maker Nanya's custom AI memory gains traction with 10+ clients

AI-driven demand for high-bandwidth memory (HBM) is pushing Taiwanese memory suppliers toward lower-power, high-bandwidth alternatives. Nanya Technology Corp. (NTC) said its Ultra Wide I/O (UWIO) ...
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 ...