Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

A new technical paper titled “ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions” was published by researchers at Politecnico di Torino and EPFL. Abstract “Modern data-driven ...

If you know what RAM is, then you know that it is one of the primary components in a PC, and that it is important that you have at least a certain amount of RAM depending on what you want to do with ...

Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...

A common challenge in developing AI-driven applications is managing and utilizing memory effectively. Developers often face high costs, closed-source limitations, and inadequate support for ...

AMD’s 7800X3D and 7950X3D hold the top spot in CPUs for gaming, not because they have the most cores or the highest clock speeds, but because they have the most cache. But what is CPU cache, anyway?