Your AI Your Data Your Privacy

Unlock your machines' full potential for private, local AI.

Turn your GPU servers into a unified AI cluster in minutes.

Anyway combines all your GPU servers, of any brand, any generation, any mix, into one private AI infrastructure. The most powerful open models, running on your hardware.

Keep Your AI Private

Anyway runs entirely on your local machines. Not a single byte of data ever leaves your infrastructure, not even to us. This is what true data sovereignty looks like.

Extend your GPU lifespan to 7 years

Anyway unifies your hardware's compute power, extending its peak performance to 7 years and beyond. It seamlessly mixes new and old hardware across any brand, fully securing your infrastructure investments over the years.

Deploy in one click

Anyway eliminates the need for specialized AI expertise. Your existing IT administrator can complete the setup in 30 minutes, unlocking one-click deployment for the most powerful open AI models.

Avoid maintenance headaches

Anyway is built to automatically redistributes workloads in real time if a machine crashes. Your users notice nothing, your team skips firefighting server issues, and reconnected machines rejoin your AI cluster automatically.

Anyway automatically combines any mix of GPU into your optimized AI cluster.

Things people ask us.

If you don't find the answer to your questions, just write us, we read every message.

Contact us
Where does Anyway run?

Anyway runs entirely on your own machines. Once installed, you have full control: no one, not even us, can access your infrastructure, and not a single byte of data ever leaves your network.

Can Anyway combine old and new GPU servers?

Yes, this is one of Anyway's core strengths. The platform unifies legacy and brand-new hardware into a single AI cluster, making it possible to run models that require the combined compute of all your machines.

Which models can I run?

You can run most popular open models: Llama, Mistral, Qwen, DeepSeek, and more. Anyway includes a control plane that lets you download any model from Hugging Face and deploy it on your machines in one click.

How long does it take to set up Anyway on my machines?

A full setup typically takes less than 30 minutes. Anyway has almost no external dependencies, which makes it lightweight, portable, and easy to install in any environment.

Do I need an AI or DevOps expert team to install Anyway and deploy models?

No. Anyway is designed to be installed in under 30 minutes by any IT administrator, with no prior AI or DevOps expertise required. Once installed, deploying a model is a single click.

Can it work without internet access?

Yes. Anyway is designed to operate in air-gapped or restricted environments. Once installed, it runs entirely on your local network, so you can disconnect from the internet at any time and your AI models keep answering requests perfectly.

What data does Anyway collect?

From the software installed on your machines: none. No data is ever collected from your infrastructure. The only information Anyway Systems collects is what you choose to submit through the contact form on our website (www.anyway.dev), so we can reply to your message.

Founding Team

Anyway Systems is an EPFL spinoff from the Distributed Computing Laboratory, turning decades of research on distributed systems and secure AI into a stable, production-ready AI platform.

Dr. Geovani Rizk

Co-founder

Dr. Geovani Rizk

PhD in Computer Science from Université Paris Dauphine / CNRS. Researcher at EPFL on safe and distributed machine learning. Previously at the Financial Markets Authority in France.

Dr. Gauthier Voron

Co-founder

Dr. Gauthier Voron

PhD from Sorbonne Université / CNRS on scalable datacenter systems. Senior researcher at EPFL on secure and scalable systems, with patents on scalable computing. Former researcher at the University of Sydney.

Prof. Rachid Guerraoui

Co-founder

Prof. Rachid Guerraoui

Professor of Computer Science at EPFL and director of the Distributed Computing Laboratory. Former HP Labs (Palo Alto) and MIT. Author of multiple books on safe AI and holder of patents on robust computing.

Deploy your local AI.

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