HighThroughput LLM Inference Engine

Overview

This open-source engine is a high-throughput, memory-efficient inference and serving layer for large language models.[6] It focuses on batching, caching, and optimized GPU/CPU utilization to serve multiple concurrent requests without exploding resource usage. Devs should care because it provides a specialized serving stack that can be dropped into existing infra to improve performance and cost-efficiency of self-hosted LLM deployments.