Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

This week, I’m focusing on the widespread use of the Grok chatbot to undress women on X. I also look at the problematic lack ...

Nvidia (NASDAQ:NVDA) unveiled its next‑generation Rubin AI platform at CES, introducing six codesigned chips and new ...

AIC Expands NVIDIA BlueField-Accelerated Storage Portfolio With New F2032-G6 JBOF Storage System to Accelerate AI Inference. Tweet. CITY OF INDUSTRY, Calif., Jan. 6, 2026 /PRNewsw ...

CES used to be all about consumer electronics, TVs, smartphones, tablets, PCs, and – over the last few years – automobiles.

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. Abstract “Neural networks have become a ...

Fancy cameras, giant screens and massive storage usually make smartphones more expensive. But next year, it’s a routine component that might be boosting prices: memory. And it’s not just phones. Any ...

Dec 3 (Reuters) - Memory chipmaker Micron Technology (MU.O), opens new tab said on Wednesday it will exit its consumer business, as it doubles down on advanced memory chips used in artificial ...