Agentic Stacks: AI Agents on Your Own Infrastructure

AI agents are no longer demo objects but software that runs on machines: models, runtime environments, tool access, data storage, monitoring. The question every company should ask is not only what the agents do, but on whose infrastructure they run. We build and operate agentic stacks on your own hardware: in your own data center or on customer-owned GPU systems, without being pushed into a public cloud.

What we set up: An agentic stack consists of several layers: GPU hardware that matches your models and workloads, a Linux base with clean isolation of the runtime environments, local hosting of the models, tool and data connections, and logging of every agent action. We plan these layers for your application, implement them and document every decision in a traceable way.

Humans design, AI implements, DevOps supervise: Our working model in this area is deliberately structured this way: experienced engineers design the architecture and make the operational decisions. AI tools implement within this framework quickly and reproducibly. Experienced DevOps supervise the result, review configurations and carry the responsibility for operations. This creates speed without loss of control, and there is always a human accountable for your environment.

What you get: A working agent infrastructure on hardware you own: models, data and logs stay in your hands, independent of account cancellations, price changes or policy changes at a cloud provider. The logging makes traceable what your agents did and when, a standard hosted offerings rarely meet in this form. Consulting, build and ongoing operations come from one source.

When this fits you: This service is for companies that want to run AI agents productively but want to keep data sovereignty and operational responsibility: teams with regulatory requirements on data handling, operations with permanently high compute loads where rented GPU time quickly becomes more expensive than own hardware, and organizations exploring how agents fit their operation without binding themselves to one provider.

How we work: We start with a consultation: which workloads should the agents carry, which models are candidates, which hardware fits them, what should operations look like. From that comes an architecture proposal with a clear effort estimate. Implementation and operations run in one of our billing models; details are on the services overview.

Agentic stacks stand on classic infrastructure: containers, automation and clean networks are the foundation. You can read how we operate this basis on our containers and cloud infrastructure pages.

Contact Us Today, and we will discuss what an agentic stack would look like for your use case.