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Anyscale's Ray powers large-scale AI training and inference

Anyscale's Ray Day London event highlighted how organizations are scaling AI workloads using the Ray framework. Key presentations included Xoople's use of Ray Data for global-scale geospatial foundation model inference and Adyen's training of a Transaction Foundation Model (TFM) on a massive 51 trillion token dataset. These case studies demonstrated Ray's ability to simplify complex AI infrastructure for tasks ranging from multimodal data processing to foundation model training and reinforcement learning. AI

IMPACT Demonstrates how existing AI frameworks like Ray are enabling companies to tackle increasingly complex AI workloads and massive datasets.

RANK_REASON The article discusses how companies are using the Ray framework to scale their AI infrastructure and workloads, rather than announcing a new AI model or research breakthrough.

Read on Anyscale blog →

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Anyscale's Ray powers large-scale AI training and inference

COVERAGE [1]

  1. Anyscale blog TIER_1 English(EN) ·

    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

    Learn how leading AI teams at Adyen, Criteo, Xoople, and BMW scale distributed AI workloads, from 51T-token foundation models to multimodal pipelines and sovereign AI inference.