Model Deployment Patterns
Vishnu and Srivatsan discuss the various deployment patterns for machine learning models, emphasizing the importance of considering real-time, batch, and edge deployments. Srivatsan highlights the significance of choosing the right technology based on latency requirements, suggesting Flask for low latency and Kafka for high payload scenarios. They recommend leveraging Kubernetes for its flexibility across cloud and on-premise environments.In this clip
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Scaling AI in production // Srivatsan Srinivasan // MLOps Coffee Sessions #40
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