How Adyen trains a Transaction Foundation Model (TFM) on 51 trillion tokens and other stories on scaling AI with Ray from Xoople, Criteo, and BMW

Ray Day London, the final stop of Anyscale's 2026 Ray on the Road series, highlighted the advancements in AI infrastructure facilitated by Ray, an open-source framework for distributed computing. The event showcased various industry applications demonstrating Ray's ability to efficiently scale and simplify complex AI workloads. Xoople utilized Ray to perform rapid geospatial predictions over vast areas, while Adyen employed it to train a Transaction Foundation Model on a massive 51 trillion token dataset for fraud detection. Criteo enhanced its ad relevancy model's scalability and speed by integrating multimodal capabilities, achieving a 50x inference speedup. BMW's AI Gateway expanded from text to video processing using Ray and vLLM, leveraging cost efficiencies through self-hosted models. The event underscored Ray's flexibility and impact in facilitating scalable, reliable AI solutions across diverse domains.

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