You can’t cheaply recompute without re-running the whole model – so KV cache starts piling up Feature Large language model ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

AWS and AMD announced the availability of new memory-optimized, high-frequency Amazon Elastic Compute Cloud (Amazon EC2) ...

As each of us goes through life, we remember a little and forget a lot. The stockpile of what we remember contributes greatly to define us and our place in the world. Thus, it is important to remember ...

The role of memory to handle an avalanche of data expected in future leading-edge applications such as automotive and artificial intelligence has led to product innovations from several companies, the ...

I have a Corsair DDR4 2x8GB kit which is CMW16GX4M2D3600C18. 16GB is too low for modern day applications, so I want to upgrade to 32 GB. This RAM was bought a long time ago, but is still available for ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...