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Local AI Runners

Connect your local models to the cloud. Instantly.

Local Runners securely bridge your local AI, MCP servers, and agents via a robust API to power any application.

Founder promotion for $1/month with Developer plan.

-> Try Local Runners for free Learn More
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Local control. Global reach. Run directly from your hardware.

Connect your private hardware directly to Clarifai’s enterprise-grade API and tools, providing external access to your models, coupled with trusted security.

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Deploy your models anywhere

Run models securely on your laptop, servers, or VPC clusters. Sensitive data and models never leave your environment.

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Robust API access to your AI

Serve your local models through Clarifai's robust, managed API. Combine your local models with others on Clarifai for complex pipelines.

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Save on cloud costs

Use your existing hardware for inference, especially for token hungry models and agents, reducing cloud costs.

Access your local models with zero custom networking rules

Focus on what you do best: building apps. Work on your projects from anywhere and collaborate with anyone, even from halfway across the world.

Access your local models with zero custom networking rules

Single command setup

Run  clarifai model local-runner
Get your model connected to serve requests with just one command. Iteratively build and test your models on your machine.

Single command setup

Platform power. Anywhere.

Local Runners are ideal for:

  • Running token-hungry LLM models and agents
  • Keeping inference close to your data
  • Rapid testing and deployment in CI/CD pipelines
Platform power. Anywhere.

Plug into your AI stack

Seamlessly connect local models to your favorite coding agents and agentic frameworks. Build your applications with the tools that you’re familiar with, while powering them with on-machine models.

-> Try Local Runners
Plug into your AI stack

"Calling models on our hardware using Clarifai's API was like magic. Knowing that  our  sensitive data  never leaves our  servers  is  a game-changer!"

- Sarath L., Backend Engineer

"As a startup, managing compute costs was always a tightrope walk. Local Runners allowed us to cut down our infrastructure spending without sacrificing performance."

- Mark T., CTO & Co-founder

"The ease of setting up Local Runners and the inference speed on our own hardware are impressive. 
Highly recommend!"

- Jessica R., AI Engineer

Frequently Asked Questions

What are Clarifai Local Runners and how do they work?

Clarifai Local Runners allow you to deploy and run your custom AI models on your own hardware (like your laptop, a server, or a private cloud) and seamlessly connect them to the Clarifai MLOps platform. This enables you to manage, monitor, and serve your local models using Clarifai's robust features, all with a simple command. 

Why should I use Local Runners instead of traditional cloud deployment or completely offline solutions?

Local Runners offer a unique hybrid advantage. You get to control your data and leverage your existing hardware, which can significantly save on public cloud GPU costs, especially for large models. At the same time, you gain access to Clarifai's powerful MLOps features like a production-ready API, model chaining workflows, and centralized monitoring, which are typically only available with cloud deployments. 

What kind of hardware is needed, and what types of models can I run with Local Runners?

Local Runners are designed to run on various types of your own hardware, including laptops, servers, or private cloud environments. They are ideal for running large local models (like LLMs or multimodal AI) and can help avoid cold starts and GPU wait times often experienced in the cloud.

Is my data secure when using Local Runners? Does it leave my environment?

Yes, a key benefit of Local Runners is data control and privacy. Your data stays on your hardware and does not leave your environment. Clarifai's platform connects to your model's endpoint, but your sensitive information remains within your control.

Can Local Runners integrate with my existing AI development tools and workflows?

Absolutely. Local Runners are designed to fit directly into your existing development workflow. You can connect your local models to popular agent frameworks like LangChain and CrewAI, and they are suitable for rapid testing and deployment in CI/CD pipelines.

Build your next AI app, test and tune popular LLMs models, and much more.

Get started for free
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For Developers