<ul><li>Cloud-native architectures have revolutionized machine learning infrastructure, providing scalability, faster processing speeds, and improved resource allocation.</li><li>Serverless computing reduces costs and maximizes performance, processing over a million requests per second.</li><li>Container orchestration technologies enhance ML workload distribution, ensuring robust and scalable applications.</li><li>Innovations in data processing, such as event-driven architectures and partitioning techniques, improve real-time processing and handle data skew.</li></ul>

Innovative Approaches to Petabyte-Scale Machine Learning Infrastructure

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