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secunet, Red Hat and deepset present AI offering for classified information based on NVIDIA technologies
A consortium of secunet, Red Hat, and deepset is developing a cloud offering with AI capabilities for authorities and organizations with classified information requirements, based on technologies from NVIDIA.
NVIDIA Open Models Power a New Wave of European Public Sector Projects
Discover how deepset is working with NVIDIA and partners to advance sovereign AI in Europe's public sector, from the European Commission's AI@EC platform to secure AI infrastructure for German government institutions.
deepset Unveils Reference Architecture for Self-Improving, Sovereign AI Agents on NVIDIA Infrastructure
Today deepset unveiled a new open reference architecture developed with NVIDIA open models and software for self-improving AI agents designed to run in locally controlled and air-gapped environments.
deepset Tackles AI costs with Agent Optimization and Custom Models for Government, Defense and Industry
Today deepset announced new capabilities and services to reduce the cost of running high-quality, sovereign AI agents. Unveiled during NVIDIA GTC Berlin, the offering combines agent optimization in Haystack Enterprise Platform with custom AI model services for government, defense and industry.
Guides
Playbook: Outcomes-Based AI
AI prototyping laid the groundwork. deepset's Outcomes-Based AI Playbook is your strategic framework to scale AI with purpose and prove ROI.
Whitepaper: Einsatz- und Akzeptanzanalyse von KI-basierten Wissenszugängen in KMU am Beispiel einer semantischen Suche
Das KIWise-Whitepaper 2025 zeigt, dass viele KMU den Schritt von KI-Bewusstsein zur Umsetzung scheuen. Der Leitfaden nennt konkrete Maßnahmen.
Gartner® Predicts 2026: AI Sovereignty
AI sovereignty is now an operational imperative. Download the Gartner report to learn how to architect AI on an open, modular platform for sovereign AI.
Gartner® Innovation Insight: Context Engineering
Download the report to learn how to apply the key principles of context engineering to build AI systems that move from prototype to production.