Dynamic Random Access Memory (DRAM) remains a central element in computing architectures, but its intrinsic vulnerabilities and power demands have spurred a wealth of research focused on enhancing ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

When running AI models for image or video generation locally, insufficient VRAM or RAM capacity is a major obstacle. ComfyUI, a node-based generation AI tool, enabled a new memory optimization feature ...

Micron investors took some profits, sending shares of the memory chip maker down 4% in Wednesday afternoon trading.

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

The US government has imposed fresh export controls on the sale of high tech memory chips used in artificial intelligence (AI) applications to China. The rules apply to US-made high bandwidth memory ...

The AI buildout is creating a supply-demand imbalance in storage devices. Prices of DRAM and NAND storage devices soared in 2025. Prices of memory storage devices are expected to continue to climb ...