How much does it cost to run AI yourself?
Hardware, license, and operations: predictable costs instead of token pricing. Run your scenario in the cost calculator.
Read answerQuestions and answers
Does on-premise AI make sense for SMEs?
Yes, especially with compliance requirements, Swiss data sovereignty, and strict data protection.
Read answerWhich data should never go to the cloud?
Sensitive business data, personal and compliance-relevant data. On-premise keeps everything under your control.
Read answerFor which company sizes does on-premise AI make sense?
From small teams to large enterprises. Often economical from about 5 users.
Read answerCan ERP, CRM and document data be integrated?
Yes – interface-compliant and with minimal integration effort.
Read answerHow can I get a quote?
Via price request or contact form. We are happy to help with a demo and decision support.
Read answerCan I evaluate on-premise AI before buying?
Yes: every Wednesday is Test Wednesday. Request an API key and test realistically.
Read answerHow performant is on-premise AI?
A single Server S2 delivers 1,300 tokens/s under parallel requests and serves 44 users at once.
Read answerWhat does the license include?
Updates, new features, and always current AI models. Yearly per GPU, no token fees.
Read answerHow do maintenance and updates work?
Planned updates, maintenance windows, optionally zero downtime. Security patches promptly.
Read answerHow does the purchase process work?
After the purchase, we build. Time to market: about 3 weeks.
Read answerCan installation and maintenance be done remotely, or is on-site required?
Usually remote. On-site for installation or when needed.
Read answerHow does the on-premise AI solution scale?
Horizontally with more servers, vertically with more powerful GPUs. Flexibly expandable in 2-GPU steps.
Read answerCan I start small and scale later?
Yes. Start with the Server S1 and grow in 2-GPU steps up to the AI data center.
Read answerWhich operational model is used?
Managed On-Premises, co-management, or self-service. Depending on your needs.
Read answerIs your team based in Switzerland?
Yes. Our team is fully based in Switzerland.
Read answerWhat are typical use cases for SMEs?
From documents to code to internal assistants: privacy-compliant and high-volume.
Read answerWhich hardware does onprem.ai use?
NVIDIA GPUs from the RTX PRO 6000 Blackwell up to H100, H200, and GH200, in configurations from S1 to DC8.
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