MarketWatch

Compute-In-Memory APU Achieves GPU-Class AI Performance at a Fraction of the Energy Cost

The MarketWatch News Department was not involved in the creation of this content. SUNNYVALE, Calif., Oct. 20, 2025 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the ...
Morning Overview on MSN

New memory design lets AI think longer and faster with no extra power

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Compute-in-memory chip startup Mythic raises $125M round

Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital ...
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 ...
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 ...
EDN

Why memory swizzling is hidden tax on AI compute

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Semiconductor Engineering

Dealing With Heat In Near-Memory Compute Architectures

The explosion in data forcing chipmakers to get much more granular about where logic and memory are placed on a die, how data is partitioned and prioritized to utilize those resources, and what the ...
Business Wire

d-Matrix Launches New Chiplet Connectivity Platform to Address Exploding Compute Demand for Generative AI

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today, d-Matrix, a leader in high-efficiency AI-compute and inference processors, announced Jayhawk, the industry’s first Open Domain-Specific Architecture (ODSA) ...
Electronic Design

Memory-Centric Compute Speeds Searches for Machine-Learning Apps

Jim Yastic highlights Macronix's memory-centric hardware approach that accelerates in-memory search. Compute architectures are changing radically from bringing in memory using CXL on the PCI Express ...
Forbes

$110M In Funding Will Help d-Matrix Get Generative AI Inference Platform To Market

Company sees a window where they can launch their cost-effective solution and get traction ahead of other’s next-gen silicon. d-Matrix has closed $110 million in a Series-B funding round led by ...
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 ...