Tech Xplore

Memristor chip merges memory and computing, cutting AI power use by more than half

With a simple click, your hastily taken photo sharpens, a garbled voice message turns into polished text and a chatbot drafts ...
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 ...
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 ...
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 ...
Hosted on MSN

Anker THUS chip breaks computing rules to put big AI models on wearable devices

Anker is getting into the silicon business, specifically building a CIM (Compute In Memory) solution that will support onboard large model processing inside tiny, low-powered Bluetooth earbuds. THUS ...
EDN

Why memory swizzling is hidden tax on AI compute

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.
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 ...