An overview of the MRDIMM technology as a solution to memory bandwidth and capacity challenges.

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

We present an energy-efficient processing-in-memory (PIM) architecture named Z-PIM that supports both sparsity handling and fully variable bit-precision in weight data for energy-efficient deep neural ...

In this work, a heterogeneous integration strategy of 3D NAND based compute-in-memory (CIM) architecture is proposed for large-scale deep neural networks (DNNs). While most of the reported CIM ...

One key innovation in this memory architecture is high-bandwidth memory (HBM), which stacks multiple die together to increase storage capacity and connects these devices to processing engines ...

Innovative Answers – Without the Wait Unlike theoretical solutions still on the drawing board, Numem’s AI Memory Engine – combined with the company’s MRAM architecture – is foundry-ready and ...