Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources

Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources

Bibliographic Details
Main Authors: Li, Baolin, Samsi, Siddharth, Gadepally, Vijay, Tiwari, Devesh
Other Authors: Lincoln Laboratory
Format: Article
Language:English
Published: ACM|Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing 2023
Online Access:https://hdl.handle.net/1721.1/152103

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