HBM
High Bandwidth Memory
A very fast memory technology that stacks multiple memory chips to send and receive large amounts of data at once.
In Simple Terms
HBM is a super-fast type of memory that stacks chips in many layers to hugely widen the path data travels along. It's mainly used inside high-performance computers that handle artificial intelligence (AI) calculations and image processing. It helps in situations where a huge amount of data has to be exchanged at once, cutting down waiting time so the calculations can keep running smoothly.
Behind the Name
HBM is short for High Bandwidth Memory. "High" means large here, "Bandwidth" means how much data can travel through a connection at once (you can picture it as the width of a road for data), and "Memory" is the component where a computer keeps the data it is working with. So the name says exactly what it is: memory with a data road that is far wider than usual.
Take a Closer Look!
HBM is a memory standard that stacks multiple memory chips vertically and links them with dedicated wiring, greatly increasing how fast data can be sent and received.
Compared with the memory in a conventional PC, it can send a far wider stream of data at once, so it can exchange data with the processing chip quickly.
Regular memory is laid out side by side on a flat board, but HBM is built in three dimensions, with chips stacked in many layers.
The chips are connected directly through countless holes and electrodes thinner than a human hair, which bundles thousands of data pathways together.
On top of that, HBM sits right next to the processor that does the calculating, so signals only have to travel an extremely short distance.
Thanks to this design, HBM can work closely with the "brain" parts of a computer, such as GPUs, which process huge amounts of data all at once.
It prevents waiting caused by traffic jams in data transfer, letting the processor make full use of its high processing power.
It's widely built into systems that keep crunching enormous amounts of data nonstop, such as AI training and advanced simulations.