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AI Sweden

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Taking an AI model from a local test environment to a stable, scalable production environment requires the right infrastructure and architecture. Welcome to a practical and strategic workshop where we address the challenges and solutions of building a robust AI platform—one that supports both today’s experiments and tomorrow’s large-scale deployment. This workshop is designed for IT architects, CTOs, tech leads, and strategic decision-makers who want to secure their organization's pace of innovation, cost control, and security. Throughout the morning, we will combine deep-dive architectural insights with peer-to-peer knowledge sharing and an interactive design exercise.Focus Areas: Program08:30–09:00 | Breakfast, Registration & NetworkingMingle and gathering of the participants' own AI initiatives, questions, and challenges.09:00–09:15 | Framing: Why AI Infrastructure is StrategicAI infrastructure as a prerequisite for innovation pace, cost control, and production deployment. 09:15–09:55 | From AI Pilot to Scalable PlatformWhat changes when AI transitions from experiment to multiple teams, models, and real-world operations. Common pitfalls and critical architectural choices. 09:55–10:35 | GPU, Data, Storage, and Networking as a Unified WholeHow the workload dictates the choice of GPU capacity, storage, and network design. Focusing on bottlenecks, utilization rates, scalability, and total cost of ownership (TCO).