Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Dynamic random access memory (DRAM) remains a cornerstone of modern electronic systems, enabling rapid data storage and retrieval. Recent developments have focused on capacitorless designs – notably ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

The memory shortage risks becoming a broader supply-chain problem. Unlike the pandemic-era chip crunch, which was driven largely by logistics and temporary disruptions, today’s shortage stems from a s ...