Surging data centre investment by AI giants tightens RAM and NAND supply squeezing mid tier devices as makers weigh hikes ...

The most recent price hike from Framework adds $10 per GB for the 8GB, 16GB, and 32GB options, with prices going up even ...

Asus is preparing to take a step in response to the global memory shortage that has driven DDR5 prices sharply higher.

Marrakech – Computer memory prices are climbing faster than gold, creating a global crisis that threatens to make technology significantly more expensive for consumers. DRAM prices have skyrocketed by ...

In an effort to preserve existing stock, Framework Computer has delisted DDR RAM as a standalone product due to the memory shortage. "The memory market is in a bad spot," Framework Computer tweeted on ...

The world’s largest memory chipmaker’s aggressive pricing threatens to push AI server costs up 10-25% as supply constraints remain through 2026. Samsung Electronics has raised prices on DDR5 memory ...

TL;DR: ADATA and MSI have developed the world's first 128GB DDR5 CUDIMM Memory Module featuring 4-RANK architecture, doubling capacity for data-intensive workloads while maintaining high speed and ...

DDR5 memory runs objectively high transfer rates; JEDEC specs go as high as 6.4 Gbps, and overclockers have taken DDR5 beyond the fastest LPDDR5X: all the way to over 13 Gbps. At these speeds, signal ...

Rising memory prices and volumes are driving a strong finish for memory module manufacturers in 2025, with Taiwanese module leaders optimistic that the boom will continue through 2026. Transcend ...

Bohemia, New York (October 2025) – Power Device Corporation (PDC) a trusted leader in space electronics for over 25 years, proudly announces the launch of its latest innovation: the Osiris Computer ...

An AMD patent application for a new spin on DDR5 PC memory has been spotted. The so-called high-bandwidth dual inline memory module or HB-DIMM is designed to boost memory bandwidth courtesy of pseudo ...

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...