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If useful, it can be further extended to a data lake platform that uses AWS Glue (a serverless data integration service for datapreparation) and Amazon Athena (a serverless and interactive analytics service) to analyze and visualize data. She holds 30+ patents and has co-authored 100+ journal/conference papers.
This makes GPUs well suited for data-heavy, matrix math-based, ML training workloads, and real-time inference workloads needing synchronicity at scale. Both use cases require the ability to move data around the chip quickly and controllably. An important part of the datapipeline is the production of features, both online and offline.
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