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 ...
Semiconductor Engineering

Modeling Compute In Memory With Biological Efficiency

The growing popularity of generative AI, which uses natural language to help users make sense of unstructured data, is forcing sweeping changes in how compute resources are designed and deployed. In a ...
Business Wire

d-Matrix Unveils Corsair, the World’s Most Efficient AI Computing Platform for Inference in Datacenters

ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...
insideHPC

In-Memory Computing Could Be an AI Inference Breakthrough

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...
Morningstar

Everspin Awarded $10.5M Contract to Provide MRAM IP and Foundry Services for Purdue University’s ME Commons In-Memory Compute Project

Everspin Awarded $10.5M Contract to Provide MRAM IP and Foundry Services for Purdue University’s ME Commons In-Memory Compute Project Everspin’s AgILYST MRAM IP and manufacturing to support Purdue ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...