AI is driving demand and higher prices for DRAM and NAND into 2026.  Products using non-volatile memories to replace NOR and ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

The chip giant says Vera Rubin will sharply cut the cost of training and running AI models, strengthening the appeal of its ...

AWS has announced the general availability of Amazon S3 Vectors, increasing per-index capacity forty-fold to 2 billion ...

AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the ...

A two-year police operation dismantled a multimillion-dollar drug network, resulting in jail for Tribesmen members and ...

Nvidia’s Rubin AI drives higher demand for storage and memory. Expect continued shortages & higher prices in 2026. Jensen ...

Data storage stocks soared after Nvidia CEO Jensen Huang, speaking at the Consumer Electronics Show in Las Vegas on Monday, ...

Memory and storage stocks surge on AI spending as a “memory supercycle” fuels HBM shortages and price hikes—see what it means for Micron and peers.

NVIDIA BlueField-4 powers NVIDIA Inference Context Memory Storage Platform, a new kind of AI-native storage infrastructure ...

Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

Researchers at Oak Ridge National Laboratory have used specialized tools to study materials at the atomic scale and analyze ...