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GPUStack vs Llama Stack

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?
GP GPUStack Manage GPU clusters for running AI models VS LL Llama Stack Composable API server for building generative AI applications
FeatureGPUStackLlama Stack
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score90 · Excellent92 · Excellent
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0MIT
LanguagePythonPython
Setup difficultyMediumMedium
Min. RAM8,192 MB4,096 MB
Deploymentdocker, kubernetes, bare-metaldocker, source
GitHub stars★ 5,754★ 8,437
First released20242024
ReplacesOpenAI APIOpenAI API

What are GPUStack and Llama Stack?

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

Llama Stack

Llama Stack from Meta defines and implements a set of standardized APIs for inference, RAG, agents, safety and evaluation, with multiple provider backends. It can be self-hosted as a unified server for building local generative AI applications.

  • Standardized AI APIs
  • Pluggable provider backends
  • Agents and RAG support
  • Self-hostable server

GPUStack vs Llama Stack: key differences

Both projects are written in Python. Licensing differs — Apache-2.0 for GPUStack versus MIT for Llama Stack. Llama Stack is the lighter option, starting around 4,096 MB of RAM against 8,192 MB for GPUStack.

Why pick each one

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 5.8k GitHub stars
GPUStack details

Choose Llama Stack if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Mature project with 8.4k GitHub stars
  • Written in Python
Llama Stack details

Frequently asked questions

Is GPUStack or Llama Stack better?

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

Are GPUStack and Llama Stack free and open-source?

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

Can I run GPUStack and Llama Stack with Docker?

GPUStack: yes. Llama Stack: yes.

Which is lighter on resources, GPUStack or Llama Stack?

Llama Stack has the smaller minimum footprint at 4,096 MB of RAM, compared to about 8,192 MB for GPUStack. Real-world usage depends on library size, user count, and enabled features.

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