The AI revolution is here, but it’s creating a new kind of dependency. As organizations race to build AI-powered applications, many are defaulting to the public cloud, surrendering control over their data, their compute, and their costs. But there’s another way. You can build a Sovereign AI Stack—an open source, on-premise infrastructure that gives you full ownership and control.

This isn’t just about saving money; it’s about owning your data and your compute in the age of AI. It’s about data sovereignty.

The Foundation: OpenStack for GPU-Heavy Workloads

At the heart of the Sovereign AI Stack is OpenStack. It provides the essential “plumbing” for managing the powerful, GPU-heavy workloads that AI demands.

  • Managing GPUs with Nova: OpenStack’s compute service, Nova, is designed to manage and schedule accelerator hardware like GPUs. It allows you to create virtual machine “flavors” that include GPU resources, so your data scientists can self-serve and request a “VM with 4 NVIDIA H100s” as easily as they would a standard VM.
  • Bare-Metal Performance with Ironic: For the most demanding training jobs, you need the raw performance of bare metal. OpenStack’s Ironic project lets you provision entire bare-metal servers with the same cloud-like automation you get with VMs. This gives you the best of both worlds: the power of dedicated hardware and the flexibility of the cloud.

AI at the Edge with StarlingX

AI isn’t just happening in the data center. It’s moving to the edge, where data is collected and processed in real-time. This is where StarlingX comes in.

StarlingX is a complete, container-based, open source infrastructure platform that’s optimized for edge and IoT use cases. It combines OpenStack, Kubernetes, and other open source projects into a single, deployable solution that can be used to build and manage a distributed network of AI-powered edge devices.

Secure, Isolated Environments with Kata Containers

When you’re running AI models, especially those from untrusted sources, security is paramount. Kata Containers provides a solution by giving you a way to run containerized AI models in their own lightweight, hardware-isolated virtual machines.

Kata Containers combines the speed and agility of containers with the security of traditional virtual machines. This means you can safely run untrusted AI models without putting the rest of your infrastructure at risk.

Conclusion: Own Your AI Future

The public cloud is a powerful tool, but it’s not the only option for building and running AI. By combining OpenStack, StarlingX, and Kata Containers, you can build a Sovereign AI Stack that gives you the performance, security, and control you need to own your AI future.

It’s time to take back control of your data and your compute. It’s time to build a Sovereign AI Stack.