Audience
AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments
About vLLM
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). 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. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.
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Company Information
vLLM
United States
vllm.ai
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vLLM Frequently Asked Questions
Q: What kinds of users and organization types does vLLM work with?
vLLM works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does vLLM support in their product?
vLLM supports these languages: English.
Q: What kind of support options does vLLM offer?
vLLM offers support via 24/7 live support and online.
Q: What other applications or services does vLLM integrate with?
vLLM integrates with: DashboardGPT, Database Mart, Docker, DocsGPT, Compute with Hivenet, Hugging Face, KServe, Kubernetes, LFM3, ModelLane, Muse Spark Open, Nemotron 3.5 Bolt, Nemotron 3.5 Super VL, Nemotron 3.5 Transcribe, NGINX, NVIDIA DRIVE, omp, OpenAI, OptScale AI, PyTorch, Recursive Flint, Shift-Left API, and Thunder Compute.
Q: Does vLLM have an API?
Yes, vLLM has an API.
Q: What type of training does vLLM provide?
vLLM provides training in the form of documentation.
