#大语言模型#A high-throughput and memory-efficient inference and serving engine for LLMs
#大语言模型#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
#大语言模型#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)
#大语言模型#SGLang is a fast serving framework for large language models and vision language models.
#大语言模型#Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
#计算机科学#SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
#大语言模型#The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
#向量搜索引擎#Superduper: End-to-end framework for building custom AI applications and agents.
#大语言模型#Large Language Model Deployment Toolkit
#大语言模型#Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
#大语言模型#Simple, scalable AI model deployment on GPU clusters
#大语言模型#AICI: Prompts as (Wasm) Programs
#大语言模型#MoBA: Mixture of Block Attention for Long-Context LLMs
#大语言模型#RayLLM - LLMs on Ray (Archived). Read README for more info.
#大语言模型#High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
#大语言模型#A highly optimized LLM inference acceleration engine for Llama and its variants.
#大语言模型#A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
#大语言模型#A throughput-oriented high-performance serving framework for LLMs
#大语言模型#RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
#大语言模型#Community maintained hardware plugin for vLLM on Ascend