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 ...

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

Compute-in-memory chips like GSI’s APU could reshape AI hardware by blending memory and computation, though scalability ...

In-memory processing using Python promises faster and more efficient computing by skipping the CPU

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains ...

Why Super Chips Are The New Frontier In AI Computing

The ability of super chips to perform training and inference on future AI models requires improved memory systems that can ...
EDN

Analog memory embedded in neural net processing SoCs

A new breed of system-on-chips (SoCs) serving speech recognition, voice-print recognition, and deep speech noise reduction is starting to employ analog in-memory computing solutions for simultaneously ...
Science Daily

Adaptation in single neurons provides memory for language processing

To understand language, we have to remember the words that were uttered and combine them into an interpretation. How does the brain retain information long enough to accomplish this, despite the fact ...