Model Serving
PulseAugur coverage of Model Serving — every cluster mentioning Model Serving across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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MLOps Focuses on Efficient Model Serving Infrastructure
This article discusses MLOps and model serving infrastructure, focusing on practical approaches to avoid wasting resources. It highlights the importance of efficient machine learning infrastructure for effective model d…
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Databricks Feature Store achieves sub-second freshness for ML models
Databricks has enhanced its Feature Store to provide sub-second freshness for machine learning models, addressing the need for real-time data in applications like fraud detection and personalization. The updated Feature…
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Amtrak builds AI-powered data backbone for major rail transformation
Amtrak is implementing a comprehensive digital intelligence platform called Rail Intelligence, built on Databricks, to support its most significant operational transformation in over 50 years. This platform aims to unif…
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Databricks showcases real-time transaction scoring under 40ms
Databricks has developed a sample application that demonstrates how to process credit card transactions in milliseconds using a combination of their Model Serving and Lakebase features. The application, built with FastA…