Success 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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Distributed XGBoost on Ray at Uber
Improving patient diagnostic and triage with RL: A large-scale COVID case study
End-to-end AutoML with Ludwig on Ray at Predibase
How Microsoft does offline reinforcement learning with RLlib
Petabyte-scale data catalog management on Ray at Amazon
How Two Sigma gained a 24x speedup with RLlib and Ray
How Visa detects sensitive data in large data using deep learning on Ray
Anastasia gains 9x speedup on their ML processes with Ray
Dendra systems scales ecosystem restoration on Ray and Anyscale
Large-scale data analytics and AI pipelines using Spark and Ray at Intel
Building a massively multi-agent research platform with Ray and RLlib
How Ikigai Labs Serves Interactive AI Workflows at Scale using Ray Serve
Kyligence simplifies big data AI on Spark and Ray
Burger King improves mobile order clickthrough rate recommendation with Ray
Ant Group powers their fusion computing with Ray
Scaling and unifying Scikit-learn and Spark pipelines using Ray
Widas implements a automated digital authentication service using Ray Serve
IBM detects geo-anomalies from large-scale arial images with Ray
Large scale data loading and preprocessing with Ray at NVIDIA
Real life industrial use cases with RLlib and Ray at PathMind
Machine learning and microbiology in the cloud using Ray
Alibaba accelerates large scale tensor and dataframe workloads with Ray
Powering Open Data Hub with Ray at Red Hat
Enterprise scale reinforcement learning with RLlib at minds.ai