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 ...

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 ...
techtimes

Unveiling the Fastest In-Memory Database: Revolutionizing Data Processing with Exasol

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...
Hosted on MSN

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 constrained by data transfers, where the CPU must retrieve and process data ...
Semiconductor Engineering

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware

“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...
IT Business Edge

Tips for Processing Real-Time Data in a Data Center

Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...
Forbes

Moving Computation To Storage And Memory

The universe within. Silhouette of a man inside the universe, physical and mathematical formulas.. The concept on scientific and philosophical topics. Elements of this image furnished by NASA. We ...