OPAIRS ist Mitglied im NVIDIA Inception program
GPU-beschleunigte LLM-Inferenz on-premise: Was NVIDIA Inception für den OPAIRS-Stack bedeutet, und warum souveräne KI und leistungsstarke Hardware Zusammenspielen müssen.
Read articleOPAIRS combines data, AI and business processes in one integrated on-premise system — locally operated, fully controllable and independent from cloud platforms.
Fragmented data, isolated tools and AI without governance create high effort and low impact.
OPAIRS integrates data, AI and workflows in one local system architecture without vendor lock-in and with use-case-specific models.
Better data quality, faster decisions and secure scaling from shopfloor to management.
No SaaS. No subscription. Full sovereignty over your system-of-systems.
Build a sovereign AI and data foundation in your own infrastructure.
Systematic expansion of analytics, knowledge and decision capability.
Custom system architecture in the OPAIRS ecosystem aligned with strategy and culture.
AI only where it creates real value
Applied with your company knowledge and clear business goals.
Full data sovereignty & security by design
On-premise capable, controllable and built for high security requirements.
The digital twin of your business processes
Connects operations with data-driven transparency and control.
Consulting, technology & execution
From strategy to productive operation with one consistent partner.
Single point of truth for your data
Consistent data basis for analysis, automation and decisions.
Consulting and analysis with clear technical and strategic recommendations for your company.
Contact usAn overview of industrial AI, data sovereignty and regulatory requirements.
GPU-beschleunigte LLM-Inferenz on-premise: Was NVIDIA Inception für den OPAIRS-Stack bedeutet, und warum souveräne KI und leistungsstarke Hardware Zusammenspielen müssen.
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Strom ist kein Fixkostenfaktor – er schwankt stündlich. OPAIRS nutzt die aWATTar-API, um KI-Inferenz und Automationen gezielt in günstige Preisfenster zu verschieben. Ergebnis: messbarer Ertrag, planbare Kosten, kein Verzicht auf Funktionalität.
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EuroHPC-Förderzusage für OPAIRS: 5.000 GPU-Stunden auf dem Leonardo BOOSTER für industriespezifisches SLM-Fine-Tuning mit dem Ziel, Inferenzkosten gegenüber Cloud-APIs um 75 % zu senken.
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