Insights by Stockholm MLOps
Real systems. Real trade-offs. Real AI in production.
Built from Stockholm MLOps events.
Token Efficiency & Air-Gapped MLOps #36 (Stockholm, Sweden | June 3, 2026)
At Stockholm MLOps #36, the conversation moved far beyond models. Discussions around retrieval architectures, sovereign infrastructure, workload placement, synthetic data and air-gapped AI revealed a broader industry shift: AI is becoming an infrastructure discipline. The question is no longer just what model to use, but where it runs, who controls it, and how it operates under real-world constraints.
Sovereign AI & Control AI
AI is moving from model-centric experimentation to infrastructure-controlled production. Across Stockholm MLOps events, the conversation keeps returning to the same operational questions: where AI runs, who controls it, how it is governed, and whether organizations can trust it under real-world constraints. Sovereign AI & AI Infrastructure explores the shift toward on-prem AI, inference optimization, orchestration, runtime governance, air-gapped systems, and operational AI infrastructure.