MarketBeat on MSN

Forget the chips, buy memory: Why AI money is moving to storage

While the stock market has spent the last two years obsessed with logic chips and GPUs, a significant shift is occurring in ...
Hosted on MSN

AI efficiency advances with spintronic memory chip that combines storage and processing

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data ...
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 ...
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 ...
Business Wire

Mythic Raises $13 Million to Bring Its Next-generation Analog Computing Solution to Market

AUSTIN, Texas--(BUSINESS WIRE)--Mythic, the pioneering AI processor company with breakthrough analog compute-in-memory technology, has raised $13 million in a new round of funding. Mythic’s existing ...
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 ...