vLLM Alternatives
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
vLLM is an open-source inference and serving engine for Large Language Models, originally developed at UC Berkeley.
Explore 131 alternatives to vLLM across 2 categories. Each tool listed below shares at least one category with vLLM.
Featured
NanoGPT
One OpenAI-compatible API for 600+ models, with text billed at provider list prices
Pay per prompt, from $0.10
Top vLLM alternatives at a glance
- llama.cpp. LLM inference in C/C++ with broad hardware support and aggressive quantization
- Modular. We rebuilt the modern AI software stack, from the ground up, to boost any AI pipeline, on any hardware.
- Roofline. Edge AI deployment stack: an MLIR/IREE compiler and device runtime for CPUs, GPUs and NPUs
- Ollama. Run large language models locally with a single command
- LangChain. LangChain gives developers a framework to construct LLM‑powered apps easily.
🏗️ Frameworks & Stacks
llama.cpp
LLM inference in C/C++ with broad hardware support and aggressive quantization
Ollama
Run large language models locally with a single command
LangChain
LangChain gives developers a framework to construct LLM‑powered apps easily.
GPT4All
Desktop app and Python SDK for running open-source LLMs locally on any device
Jan
Open-source desktop app for running LLMs locally with a clean GUI
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
Google ADK
Open-source agent development kit from Google for building multi-agent systems
Burr
Build stateful AI agents and applications as state machines, with a built-in tracing UI
llmkit
One LLM client API for 20+ providers, in Go, TypeScript, Python and Rust
CC Switch
Open-source desktop manager and local router for AI coding tools
phidata
Build an AI App in minutes using pre-built templates.
🤖 Inference APIs
Project Zero
CPU-only LLM inference engine in C with no runtime dependencies
Beam
Open-source serverless GPU cloud with sub-second cold starts and auto-scaling
BentoML
BentoML is the platform for software engineers to build AI products.
Frequently asked questions
What are the best alternatives to vLLM?
Based on category overlap and popularity, the top alternatives to vLLM include: llama.cpp (LLM inference in C/C++ with broad hardware support and aggressive quantization); Modular (We rebuilt the modern AI software stack, from the ground up, to boost any AI ...); Roofline (Edge AI deployment stack: an MLIR/IREE compiler and device runtime for CPUs, ...); Ollama (Run large language models locally with a single command); LangChain (LangChain gives developers a framework to construct LLM‑powered apps easily.). See all 131 alternatives compared on this page.
Is there a free alternative to vLLM?
Yes. 89 alternatives to vLLM offer a free tier or free trial: llama.cpp, Modular, Ollama, LangChain, Dify, GPT4All, and more. Use the comparison above to find the best fit for your use case.
Are there open-source alternatives to vLLM?
Yes. 38 of the 131 alternatives to vLLM listed here are open source: llama.cpp, Ollama, LangChain, Dify, GPT4All, LiteLLM, and more. Open-source tools can be self-hosted for full control over data and infrastructure.
What is vLLM?
vLLM is an open-source inference and serving engine for Large Language Models, originally developed at UC Berkeley. It uses PagedAttention to manage GPU memory efficiently, achieving up to 24x higher throughput compared to Hugging Face Transformers. It supports most popular open-source models inc... See 131 alternatives to vLLM across 2 categories.
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