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 ...
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 ...
EDN

Analog in-memory compute tackles the AI inference conundrum

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...
Business Wire

ANAFLASH and Legato Logic Unite to Drive Next-Generation Edge Computing

SUNNYVALE, Calif.--(BUSINESS WIRE)--ANAFLASH, a Silicon Valley-based pioneer in low power edge computing, has acquired Legato Logic’s time-based compute-in-memory technologies and its industry ...
来自MSN

Compute-in-memory chip shows promise for enhanced efficiency and privacy in federated ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing ...

Anker is betting its new chip can change how AI runs in earbuds

The processor's compute-in-memory architecture departs from the conventional separation between processing and storage.
Semiconductor Engineering

PDN Challenges In DRAM-Based Compute-In-Memory Systems (UT Austin)

A new technical paper, “A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM,” was published by researchers at UT Austin. “Compute-in-memory (PIM) mitigates ...