Forbes contributors publish independent expert analyses and insights. This is the second in a set of four blogs about projections for digital storage and memory for the following year that we have ...

We’re on the verge of a new era of computing that will likely see major changes to the data center, thanks to the growing dominance of artificial intelligence (AI) and machine learning (ML) ...

HBM is Micron Technology, Inc.'s primary growth engine, with revenue surging 244.8% YoY in Q3 2026 YTD, driven by hyperscaler AI data center buildouts. US CHIPS Act incentives and $250B capex plan aim ...

Microsoft, Nvidia, and Google are quietly signing deals that stretch nearly a decade into the future, and the reason why tells you everything about where the AI memory market is actually headed. The ...

As memory manufacturers shift production toward AI-oriented products, a growing share of global memory capacity is being directed toward data center applications. Policymakers and industry leaders ...

Learn how a laptop memory upgrade using DDR4 or DDR5 RAM improves performance. Understand SO-DIMM specs, capacity limits, and tips for a faster, smoother laptop. Pixabay, Pexels A laptop memory ...

Video gamers were among the first to grumble when supplies of random access memory (RAM) chips began to run short last year, causing prices to soar. But the ongoing crisis — which has been dubbed ...

ChangXin Memory Technologies (CXMT), China's largest DRAM maker, is on track to match Micron's production capacity in 2026, if Citrini Research's forecasting models are correct. If this happens, China ...

With capacity shifting to high-margin HBM for AI data centers, traditional DRAM supply is collapsing, pushing enterprise IT costs sharply higher and eroding procurement leverage. Samsung Electronics ...

SANTA CLARA, Calif., July 31, 2024 — Marvell Technology, Inc., a leader in data infrastructure semiconductor solutions, has launched the Marvell Structera product line of Compute Express Link (CXL) ...

Applications in the AI era are memory starved. They need more capacity and, in many cases, more effective memory bandwidth than traditional server designs. Generative AI and large language models ...