How much does it cost to run AI yourself?
Hardware, monthly maintenance and power. Total costs depend on workload and team size.
Hardware, monthly maintenance and power. Total costs depend on workload and team size.
Yes, especially with compliance requirements, Swiss data sovereignty and strict data protection.
Sensitive business data, personal and compliance-relevant data. On-Premise keeps everything under your control.
From small teams to large enterprises. Often economical from approx. 5 users.
Yes – fast, realistic and interface-compliant.
Yes – interface-compliant and with minimal integration effort.
Via the purchase page or contact form. We're happy to help with demos and decision support.
Depends on the model – in practice up to 4× faster.
Planned updates, maintenance windows, optional zero-downtime. Security patches promptly.
Operations, monitoring, support – and always the latest AI models. No token fees.
Managed Service, Co-Management or Self-Service. Depending on your needs.
We build after purchase – Time-to-Market: approx. 3 weeks.
Usually remote. On-site for installation or when needed.
Horizontally via additional units, vertically via more powerful hardware. Flexibly expandable.
Yes. Start with SMALL and scale with MEDIUM or LARGE – our Kubernetes solution makes it easy.
Yes. Our team is fully based in Switzerland.
From documents to code to internal assistants – data-protection compliant and high-volume.
AMD Ryzen AI Max+ and NVIDIA RTX Pro 6000 offer the necessary memory bandwidth and capacity for professional LLM inference.