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ExLlama vs GPUStack

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

Not the right match-up?
EX ExLlama Memory-efficient inference library for quantized Llama models VS GP GPUStack Manage GPU clusters for running AI models
FeatureExLlamaGPUStack
Deploy effortRead-the-docs projectUnder-an-hour setup
Health score23 · At risk90 · Excellent
CategorySelf-Hosted AISelf-Hosted AI
LicenseMITApache-2.0
LanguagePythonPython
Setup difficultyHardMedium
Min. RAM8,192 MB8,192 MB
Deploymentsourcedocker, kubernetes, bare-metal
GitHub stars★ 2,946★ 5,741
First released20232024
ReplacesOpenAI APIOpenAI API

What are ExLlama and GPUStack?

ExLlama

ExLlama is a standalone Python/C++/CUDA implementation for running quantized GPTQ Llama models with low VRAM use on modern GPUs. It is the predecessor to ExLlamaV2 and focuses on fast, memory-efficient local inference.

  • Low VRAM GPTQ inference
  • CUDA-accelerated
  • Standalone library
  • Fast token generation

GPUStack

GPUStack is an open-source platform for running and scaling AI models across heterogeneous GPU clusters. It supports LLMs, embeddings, image, and audio models with an OpenAI-compatible API and a management dashboard.

  • Distributed GPU scheduling
  • OpenAI-compatible API
  • Many model types
  • Cluster dashboard

ExLlama vs GPUStack: key differences

Both projects are written in Python. Licensing differs — MIT for ExLlama versus Apache-2.0 for GPUStack. GPUStack lists first-class Docker deployment; ExLlama does not.

Why pick each one

Choose ExLlama if…

  • Released under the MIT license
  • Active community (2.9k GitHub stars)
  • Written in Python
ExLlama details

Choose GPUStack if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 5.7k GitHub stars
GPUStack details

Frequently asked questions

Is ExLlama or GPUStack better?

GPUStack is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider ExLlama if its specific feature set fits your needs better.

Are ExLlama and GPUStack free and open-source?

Yes. ExLlama is licensed under MIT and GPUStack under Apache-2.0. Both can be self-hosted at no software cost.

Can I run ExLlama and GPUStack with Docker?

ExLlama: check the project docs for container support. GPUStack: yes.

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