Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

In C++, the choice of data structures and memory management strategies can make or break performance. From cache-friendly struct layouts to picking between arrays and vectors, every decision impacts ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

What happens when cache doubles across all cores? A desktop processor design focuses on reducing memory bottlenecks in ...

At MWC 2026, Huawei released its AIDP. This platform integrates a knowledge base, KV cache acceleration, and a memory bank, and uses the Unified Cache Manager (UCM) to manage and schedule inference ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Unveiled at Google’s annual Next event, the pair showcased using Managed Lustre as a shared cache layer across inference ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Data processing and storage center. At the 2026 CES Jensen Huang made many announcements ...

Memory chip stocks extended their losses on Thursday after Alphabet Inc.’s Google publicized research on a new algorithm that ...