Microservices working with immutable cached entities under low latency requirements The goal is to not only reduce the number of calls to external service but also reduce the number of calls to Redis ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

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 ...

FORT MYERS, Fla. — It has been a spring of searching for Minnesota Twins starter Bailey Ober. After a winter spent working out his mechanics and getting his hip, which affected him throughout the 2025 ...

Project Leyden is an OpenJDK project that aims to improve startup time, time to peak performance, and footprint of the Java platform. One of its features is the AOT (Ahead-of-Time) Cache (also known ...

Abstract: Transformer-based generative large language models (LLMs) have revolutionized natural language processing, yet their quadratic growth in computational complexity in context length creates ...