New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

RAM consists of a grid of memory cells, each capable of storing a small amount of data, typically one bit (binary digit) or a few bits. These cells are organized into rows and columns, forming a ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

Memory is about as close as any computer component gets to being a commodity product. People rarely think about their RAM, as long as it's enough. Memory bandwidth is critically important to PC ...

The speed of data transfer between memory and the CPU. Memory bandwidth is a critical performance factor in every computing device because the primary CPU processing is reading instructions and data ...

High Bandwidth Memory (HBM) is the commonly used type of DRAM for data center GPUs like NVIDIA's H200 and AMD's MI325X. High Bandwidth Flash (HBF) is a stack of flash chips with an HBM interface. What ...

Apple is working with Samsung to change how RAM is packaged for the iPhone, with the aim of widening the bandwidth to help in AI tasks. While most smartphones have their RAM on the same package as the ...

Intel is rolling out a new form of memory that requires no changes to existing hardware or software, is usable by the competition, and promises up to a 40% increase in memory performance for certain ...

Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...