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 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

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 ...

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable capability for complex and long-horizon embodied planning. By keeping track of past experiences and environmental states, ...

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 ...