From Data to Deployment: Building European AI at Scale

As AI models continue to grow in complexity and size, organizations face mounting challenges in efficiently training and deploying them at scale.

Moderated by tech futurist and AI expert, Sarah Rojewsky, join Stefan Mesken, chief scientist at DeepL and Adam Henryk Grzywaczewski, solution architects lead at NVIDIA for an engaging livestream exploring the journey of building sovereign AI capabilities in Europe. This session will provide a behind-the-scenes look at the technical and operational challenges of large-scale AI training and inference, and how these efforts are shaping the future of European AI language development.

Discover the steps involved in developing robust AI products—from infrastructure and data center strategy to model training, reinforcement learning, and serving models to thousands of users. With insights and examples from DeepL, the discussion will highlight the importance of European AI sovereignty, the business impact of localized language models, and the mission to empower innovation across the continent.

Gain insights into real-world use cases and the evolving landscape of AI localization, from choosing the right technology and operational models to model optimization and deployment.

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