Technology · Framework

vLLM

Framework · Catalog tech@1

High-throughput LLM inference and serving engine.

Matched as
  • vllm

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. vLLM has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.93,061 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 2.2 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of vLLM’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of vLLM’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
1published events that mention it
Events · 30 days
2published events that mention it
Previous 30 days
0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

  • vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Official repositoryPython

    93.1K stars

Members 33repositories tagged with one of its aliases, most-starred first

  • modelscope/FunASR

    Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

    Tagged vllmPython

    20.6K stars

  • budtmo/docker-android

    Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

    Tagged vllmPython

    15.9K stars

  • halfrost/Halfrost-Field

    ✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field 冰霜之地:源码解析、系统设计与工程实践笔记

    Tagged vllmGo

    13.2K stars

  • LMCache/LMCache

    LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

    Tagged vllmPython

    12K stars

  • OpenRLHF/OpenRLHF

    An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

    Tagged vllmPython

    10.1K stars

  • xorbitsai/inference

    Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

    Tagged vllmPython

    9.6K stars

  • ai-dynamo/dynamo

    A Datacenter Scale Distributed Inference Serving Framework

    Tagged vllmRust

    8.2K stars

  • kvcache-ai/Mooncake

    Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

    Tagged vllmC++

    6.7K stars

  • kserve/kserve

    Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

    Tagged vllmGo

    6.1K stars

  • vllm-project/semantic-router

    A programmable Mixture-of-Models router for heterogeneous LLM inference

    Tagged vllmGo

    6K stars

  • mostlygeek/llama-swap

    Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc

    Tagged vllmGo

    5.8K stars

  • gpustack/gpustack

    A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

    Tagged vllmPython

    5.8K stars

Packages

“Is” packages are vLLM itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 11the technology itself, most-adopted first

  • ai-dynamo-vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • nextai-vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Listed in the catalogPyPI

    Not published by PyPI
  • vllm-acc

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-cpu

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-cpu-amxbf16

    vLLM CPU inference engine (AVX512 + VNNI + BF16 + AMX optimized)

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-cpu-avx512

    vLLM CPU inference engine (AVX512 optimized)

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-cpu-avx512bf16

    vLLM CPU inference engine (AVX512 + VNNI + BF16 optimized)

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-cpu-nightly

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-tpu

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI
  • vllm-xft

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Published from vllm-project/vllmPyPI

    Not published by PyPI

Ecosystem 7packages that depend on it, most-adopted first

  • bentoml-unsloth

    BentoML: The easiest way to serve AI apps and models

    Depends on vllmPyPI

    Not published by PyPI
  • docext

    Onprem information extraction from documents

    Depends on vllmPyPI

    Not published by PyPI
  • hipporag

    A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.

    Depends on vllmPyPI

    Not published by PyPI
  • hipporag-nyabot

    A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.

    Depends on vllmPyPI

    Not published by PyPI
  • ochat

    An efficient framework for training and serving top-tier, open-source conversational LLMs.

    Depends on vllmPyPI

    Not published by PyPI
  • octotoolkit

    An effective and easy-to-use agentic framework with extendable tools for complex reasoning.

    Depends on vllmPyPI

    Not published by PyPI
  • orpheus-speech

    Orpheus Text-to-Speech System

    Depends on vllmPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it

vLLM · Framework — Crest of Tech