User Stories

Explore how thousands of engineers from companies of all sizes and across all verticals are tackling real-world workloads with Ray and Anyscale.

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uber-stories-logo

Distributed XGBoost on Ray at Uber

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Virginia Mason

Improving patient diagnostic and triage with RL: A large-scale COVID case study

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Predibase

End-to-end AutoML with Ludwig on Ray at Predibase

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MSKT logo

How Microsoft does offline reinforcement learning with RLlib

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Amazon logo

Petabyte-scale data catalog management on Ray at Amazon

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TwoSigma

How Two Sigma gained a 24x speedup with RLlib and Ray

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Visa logo

How Visa detects sensitive data in large data using deep learning on Ray

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Anastasia

Anastasia gains 9x speedup on their ML processes with Ray

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Dendra logo

Dendra systems scales ecosystem restoration on Ray and Anyscale

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Intel logo

Large-scale data analytics and AI pipelines using Spark and Ray at Intel

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Neural MMO

Building a massively multi-agent research platform with Ray and RLlib

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Ikigai logo

How Ikigai Labs Serves Interactive AI Workflows at Scale using Ray Serve

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Kyligence logo

Kyligence simplifies big data AI on Spark and Ray

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RBI logo

Burger King improves mobile order clickthrough rate recommendation with Ray

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Ant Group logo

Ant Group powers their fusion computing with Ray

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IBM logo

Scaling and unifying Scikit-learn and Spark pipelines using Ray

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Widas logo

Widas implements a automated digital authentication service using Ray Serve

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IBM research

IBM detects geo-anomalies from large-scale arial images with Ray

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NVIDIA

Large scale data loading and preprocessing with Ray at NVIDIA

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Pathmind

Real life industrial use cases with RLlib and Ray at PathMind

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Drift logo

Machine learning and microbiology in the cloud using Ray

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Alibaba cloud logo

Alibaba accelerates large scale tensor and dataframe workloads with Ray

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Red hat logo

Powering Open Data Hub with Ray at Red Hat

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minds.ai logo

Enterprise scale reinforcement learning with RLlib at minds.ai

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Amazon logo

Introducing Amazon Sagemaker Kubeflow reinforcement learning pipelines for robotics

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