Enabling Serverless Deployment of Large-Scale AI Workloads

Enabling Serverless Deployment of Large-Scale AI Workloads

We propose a set of optimization techniques for transforming a generic AI codebase so that it can be successfully deployed to a restricted serverless environment, without compromising capability or performance. These involve (1) slimming the libraries and frameworks (e.g., pytorch) used, down to pie...

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Bibliographic Details
Main Authors: Angelos Christidis, Sotiris Moschoyiannis, Ching-Hsien Hsu, Roy Davies
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Intelligent transportation
predicting train delays
AWS
functions as-a-service
Lambda
NoSQL
Online Access:https://ieeexplore.ieee.org/document/9055400/

Internet

https://ieeexplore.ieee.org/document/9055400/

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