head to head · open source
vllm vs infinity
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. infinity has 4,708 stars, 445 forks, 126 open issues and last shipped 9 days ago. vllm leads on adoption by 1,855% (92,028 vs 4,708 stars). vllm is written in Python under Apache-2.0; infinity is written in C++ under Apache-2.0. vllm has attracted 24% as many forks as stars, infinity 9%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 8884 open source comparisons
Side by side
| vllm | infinity | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 4.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | C++ |
| Last push | 2026-09-17 | 2026-09-09 |
| Forks | ⑂ 22K | ⑂ 445 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 92K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick infinity if
- You want the infinity feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C++
- You evaluated both and infinity fits your workflow better
About vllm
vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.
About infinity
Infinity is an Apache 2.0, C++ database in the AI and machine learning infrastructure ecosystem. It is an AI native database for large language model applications, including search, recommendation, question answering, conversational AI, copilot, content generation, and retrieval augmented generation. The project targets matching and ranking rich data types inside one system, rather than combining separate vector, text, and reranking components.
read the full infinity overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is vllm or infinity more popular?
vllm has 92,028 GitHub stars and infinity has 4,708. vllm has the larger community by that measure.
Are vllm and infinity free?
Both are open source. vllm is licensed under Apache-2.0 and infinity under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and infinity?
vllm is written in Python and infinity in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, vllm or infinity?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose infinity if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.