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

Meta’s $2B move targets reliable AI work, with Manus using KV cache tuning to cut costs while helping teams finish complex tasks.

There's only so much RAM to go around, and with data centers seen as the priority, smartphone and laptop makers may have to ...

A next-generation storage infrastructure designed to help AI systems handle massive context memory and multi-turn reasoning ...

This measures, in microseconds, how quickly the drive can locate and access data scattered across its memory. NVMe SSDs can ...

VAST Data , the AI Operating System company, today announced a new inference architecture that enables the NVIDIA Inference Context Memory Storage Platform – deployments for the era of long-lived, ...

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

Similar in design to last year, the AMD version of the Asus ROG Strix G16 offers solid gaming performance in a bulky shell.

Artificial intelligence has raced ahead so quickly that the bottleneck is no longer how many operations a chip can perform, but how fast it can feed itself data. The long-feared “memory wall” is now ...

What if the future of artificial intelligence is being held back not by a lack of computational power, but by a far more mundane problem: memory? While AI’s computational capabilities have skyrocketed ...

The iPhone is renowned for its blazing speed, but as fast as an iPhone and iOS 26 may be, there are still situations where your device may begin to act sluggish or feel like it's underperforming.