Weebit Nano’s ReRAM Selected for Korean National Compute-in-Memory Program

Company expands collaboration with DB HiTek towards AI in-memory-compute applications -- Weebit Nano Limited (ASX:WBT) ...
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 ...

SOCAMM2 Is The Memory Standard AI Is Looking For

AI infrastructure can't evolve as fast as model innovation. Memory architecture is one of the few levers capable of accelerating deployment cycles. Enter SOCAMM2 ...

From price hikes to working with chip brokers, Framework's CEO tells us how he's navigating the memory shortage

PC startup Framework raised prices multiple times as memory has became more expensive, which impacted demand, its CEO told Business Insider.
Tom's Hardware on MSN

AMD VP uses AI to create Radeon Linux userland driver in Python

AMD's VP of AI software vibe coded the driver entirely using Claude Code, but it's meant for testing, not for deployment to ...
The Next Platform

Skimpy HBM Memory Opens Up The Way For AI Inference Memory Godbox

Generative AI is arguably the most complex application that humankind has ever created, and the math behind it is incredibly complex even if the results are simple enough to understand. GenAI also it ...

New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

EWY: South Korea Is Cashing In On Its Memory Chips

Discover why iShares EWY ETF offers leveraged exposure to Samsung & SK Hynix amid a memory-chip shortage—still 30%+ cheaper than S&P 500.
NextBigFuture

Analog in-memory Computing Attention Mechanism for Fast and Energy-efficient Large Language Models

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...