Definition
High-bandwidth memory (HBM) is fast memory made by stacking chips vertically right beside a processor, so huge amounts of data move quickly using less power.
At a glance
- Stacking chips and wiring them straight to the processor moves data far faster than ordinary memory.
- It is the core memory in AI chips like Nvidia GPUs, so demand has exploded.
- Just three firms make it — SK Hynix, Micron, Samsung — so supply is tight and prices high.
- The market is growing fast: roughly 38 billion dollars in 2025 toward about 58 billion in 2026.
How it differs from normal memory
Ordinary memory sits as separate chips spread across a board, with data crossing long, narrow paths. HBM stacks up to 16 layers and places them right next to the processor[1]. That short, wide connection moves far more data at once while drawing less power — exactly what AI workloads need[2].
Why it matters
Your AI tools run on data-center chips that depend on HBM. Because only three suppliers make it, shortages raise prices and delay AI computing power[3]. SK Hynix alone holds about 62 percent share, demand grew over 100 percent in 2025, and newer HBM4 keeps the market tight[4].
Bottom line
HBM is the scarce, costly memory that makes modern AI chips possible — quietly shaping the price and pace of the whole AI boom.