Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

⭐ If you like our project, please give us a star on GitHub for the latest updates! LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents.

Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.

Structured memory management for OpenClaw agents using SQLite graph store, multi-view indexing, TTL pruning, and HANDOFF generation.

PCWorld explores whether PC RAM wears out, revealing that memory modules typically last 3-15 years depending on quality and usage conditions. RAM failure manifests ...