1.vllm-project / vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
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8 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
A high-throughput and memory-efficient inference and serving engine for LLMs
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
🧱 Experimental library for building inference engines
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Superduper: End-to-end framework for building custom AI applications and agents.