Note: Unit shipments in thousands. Percentages may not add up to 100% due to rounding.

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 ...

No matter what happens, Ireland and Scotland will have a Triple Crown showdown in Dublin next week. It's out of their hands, ...

Thousands of iPhones were compromised using the Coruna exploit kit, which chained 23 iOS vulnerabilities into advanced attacks used for espionage and cybercrime.

Storage memory shortages and server hardware price increases are winning VMware customers via VMware Cloud Foundation memory tiering innovation.

Mobile platforms operate under fundamentally different trust assumptions than we relied on for web security. Your mobile ...

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.

Matt Elliott is a senior editor at CNET with a focus on laptops and streaming services. Matt has more than 20 years of experience testing and reviewing laptops. He has worked for CNET in New York and ...

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.

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...