head to head · open source

llama.cpp vs infinispan

llama.cpp has 128,619 GitHub stars, 23,351 forks, 2,464 open issues and last shipped today. infinispan has 1,352 stars, 654 forks, 336 open issues and last shipped today. llama.cpp leads on adoption by 9,413% (128,619 vs 1,352 stars). llama.cpp is written in C++ under MIT; infinispan is written in Java under Apache-2.0. llama.cpp has attracted 18% as many forks as stars, infinispan 48%. infinispan 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.

llama.cpp ★ 129K infinispan ★ 1.4K category AI & Machine Learning

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Side by side

	llama.cpp	infinispan
GitHub stars	★ 129K	★ 1.4K
License	MIT	Apache-2.0
Written in	C++	Java
Last push	2026-09-18	2026-09-18
Forks	⑂ 23K	⑂ 654
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 129K stars and counting
You want the MIT license terms
Your stack matches C++
You value the larger contributor base for long-term maintenance

full llama.cpp profile →

pick infinispan if

You want the infinispan feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Java
You evaluated both and infinispan fits your workflow better

full infinispan profile →

About llama.cpp

llama.cpp is a C/C++ library and set of command line tools for running large language models (LLMs) and vision language models (VLMs) locally. It enables inference without external dependencies, targeting diverse hardware including Apple Silicon, x86 CPUs, NVIDIA GPUs (via CUDA), AMD GPUs (via HIP), and other accelerators. The project lives in the ggml ecosystem, leveraging the ggml tensor computation library for low level operations and quantized model execution.

read the full llama.cpp overview →

About infinispan

⭐ If you use Infinispan, consider starring this repo, it helps the project grow and reach more developers! ⭐ Infinispan, In Memory Distributed Database Infinispan is an open source in memory database that offers flexible deployment options and robust capabilities for storing, managing, and processing data. Infinispan provides a key/value data store that can hold all types of data, from Java objects to plain text. Infinispan distributes your data across elastically scalable clusters to guarantee high availability and fault tolerance, whether you use Infinispan as a volatile cache or a persistent data store. Gettin…

read the full infinispan overview →

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Frequently asked questions

Is llama.cpp or infinispan more popular?

llama.cpp has 128,619 GitHub stars and infinispan has 1,352. llama.cpp has the larger community by that measure.

Are llama.cpp and infinispan free?

Both are open source. llama.cpp is licensed under MIT and infinispan under Apache-2.0. Neither carries a licence fee.

What is the difference between llama.cpp and infinispan?

llama.cpp is written in C++ and infinispan in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, llama.cpp or infinispan?

Choose llama.cpp if you want the larger community (128,619 stars) or its MIT licence terms. Choose infinispan if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.