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  • vLLM
    Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open-source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors
  • GitHub - vllm-project vllm: A high-throughput and memory-efficient . . .
    Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open-source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors
  • vLLM - Wikipedia
    vLLM is an open-source software framework for inference and serving of large language models and related multimodal models
  • What is vLLM? - GeeksforGeeks
    vLLM stands for virtual Large Language Model It's an open-source software designed for Large Language Models (LLMs) to run faster and use memory more efficiently AI models like GPT-4 and Llama need a lot of computer memory and processing power
  • vLLM vs. Ollama: When to use each framework
    vLLM is a library of open source code that helps LLMs quickly and efficiently perform calculations at scale The overall goal of vLLM is to maximize throughput (tokens processed per second) to serve many users at once
  • What is vLLM and How It Accelerates AI Inference - Medium
    What does vLLM stand for? vLLM stands for Virtual Large Language Model What is vLLM used for? vLLM is used for high-performance inference and serving of large language models (LLMs)
  • Fastest Local LLM Setup: Ollama vs vLLM vs llama. cpp Real Benchmarks
    For multi-GPU setups, skip llama cpp Ollama entirely and use vLLM or ExLlamaV2 The common mistake is using Ollama for production APIs — it works, but vLLM will handle 4x the load on the same hardware
  • vLLM Overview - NVIDIA Docs
    vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs) It seamlessly integrates with popular models from hubs like Hugging Face and offers a simple Python-based API
  • Ollama vs vLLM: Which Should You Use to Self-Host LLMs?
    Ollama and vLLM both run LLMs on your own hardware, but for different jobs Here's how they compare on performance, ease of setup, and when to use each
  • vLLM - vLLM 文档
    vLLM 是一个快速且易于使用的 LLM 推理和服务库。 vLLM 最初由加州大学伯克利分校 Sky Computing Lab 开发，现已成长为最活跃的开源 AI 项目之一，由来自数十个学术机构和公司的 2000 多名贡献者组成的多元化社区共同构建和维护。 如何开始使用 vLLM 取决于您的用户





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