Insights by Stockholm MLOps
Real systems. Real trade-offs. Real AI in production.
Built from Stockholm MLOps events.
Stockholm MLOps Summer Bash 2026 #37, June 11, 2026.
The Stockholm MLOps Summer Bash 2026 looked like a startup showcase, but the deeper signal was about what happens after the model. Across ten lightning talks, the strongest themes were control, verification, runtime adaptation, domain expertise and operational trust. The event showed that production AI is moving beyond demos into the systems, workflows and constraints where real value is created.
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.
Unlocking Enterprise AI Productivity | Stockholm MLOps Event #35 | May 27 2026
Enterprise AI is rapidly moving beyond isolated copilots and into operational systems shaped by orchestration, runtime coordination, governance, and organizational complexity. At Stockholm MLOps #35, speakers from Proxify, Crowd Collective, Munters, TRATON Group, IKEA, and Mimer AI Factory explored what actually breaks once AI enters enterprise-scale environments — and why the hardest problems increasingly sit in workflows, operational maturity, and distributed systems behavior rather than the models themselves.
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.
Designing, Embedding & Orchestrating Physical AI | Stockholm MLOps Event #34 | May 21 2026
Physical AI is becoming an infrastructure problem. Orchestration, edge deployment, runtime reliability, hardware-aware AI, and what breaks when AI enters the physical world.
Operationalizing AI at Scale | Stockholm MLOps Event #27 | February 12 2026
AI orchestration, operational maturity, scalable workflows, and the infrastructure realities behind moving AI from experimentation into production.