SHSelfHostIndex

llama.cpp vs Text Generation Inference

A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
LL llama.cpp High-performance LLM inference in plain C/C++ VS TE Text Generation Inference Hugging Face toolkit for production LLM serving
Featurellama.cppText Generation Inference
CategoryLocal LLM RunnersLocal LLM Runners
LicenseMITApache-2.0
LanguageC++Python
Setup difficultyHardHard
Min. RAM8,192 MB16,384 MB
Deploymentbinary, bare-metal, dockerdocker, kubernetes
GitHub stars★ 123,039★ 10,888
First released20232022
ReplacesOpenAI APIOpenAI API

Why pick each one

Choose llama.cpp if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Mature project with 123k GitHub stars
  • Written in C++
llama.cpp details

Choose Text Generation Inference if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 10.9k GitHub stars
Text Generation Inference details

Frequently asked questions

Is llama.cpp or Text Generation Inference better?

Neither is universally better. llama.cpp has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.

Are llama.cpp and Text Generation Inference free and open-source?

Yes. llama.cpp is licensed under MIT and Text Generation Inference under Apache-2.0. Both can be self-hosted at no software cost.

Can I run llama.cpp and Text Generation Inference with Docker?

llama.cpp: yes. Text Generation Inference: yes.

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