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英文字典中文字典相关资料:


  • GitHub - vllm-project vllm: A high-throughput and memory-efficient . . .
    vLLM is a fast and easy-to-use library for LLM inference and serving Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry
  • Quickstart - vLLM
    This guide will help you quickly get started with vLLM to perform: Offline batched inference; Online serving using OpenAI-compatible server; Prerequisites¶ OS: Linux; Python: 3 9 -- 3 12; Installation¶ If you are using NVIDIA GPUs, you can install vLLM using pip directly
  • vLLM – PyTorch
    vLLM is an open source library for fast, easy-to-use LLM inference and serving It optimizes hundreds of language models across diverse data-center hardware—NVIDIA and AMD GPUs, Google TPUs, AWS Trainium, Intel CPUs—using innovations such as PagedAttention, chunked prefill, multi-LoRA and automatic prefix caching
  • Meet vLLM: For faster, more efficient LLM inference and serving
    With the need for LLM serving to be affordable and efficient, vLLM arose from a research paper called, “Efficient Memory Management for Large Language Model Serving with Paged Attention," from September of 2023, which aimed to solve some of these issues through eliminating memory fragmentation, optimizing batch execution and distributing
  • Introduction to vLLM: A High-Performance LLM Serving Engine
    Introduction to vLLM: A High-Performance LLM Serving Engine Jun 13th 2025 6:00am, by Janakiram MSV Cloud Native and Open Source Help Scale Agentic AI Workflows Jun 12th 2025 1:00pm, by Sanjay Basu AI Will Steal Developer Jobs (But Not How You Think) Jun 12th 2025 12:00pm, by
  • How to run vLLM on CPUs with OpenShift for GPU-free inference
    vLLM is a production-grade inference engine, primarily optimized for GPUs and other hardware accelerators like TPUs However, it does support basic inference on CPUs as well That said, no official pre-built container images exist for CPU-only use cases To deploy vLLM on my OpenShift cluster, I needed to build and publish a custom image
  • Welcome to vLLM — vLLM
    vLLM is a fast and easy-to-use library for LLM inference and serving Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry
  • Releases · vllm-project vllm - GitHub
    Enhanced NVIDIA Blackwell support vLLM now ships with initial set of optimized kernels on NVIDIA Blackwell with both attention and mlp
  • What is vLLM? - Hopsworks
    vLLM was first introduced in a paper - Efficient Memory Management for Large Language Model Serving with PagedAttention, authored by Kwon et al The paper identifies that the challenges faced when serving LLMs are memory allocation and measures their impact on performance
  • vllm · PyPI
    vLLM is a fast and easy-to-use library for LLM inference and serving Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry





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