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GTC ON-DEMAND

AI Application, Deployment & Inference
Presentation
Media
Continuous Delivery of AI Applications
Abstract:
Deep learning systems are usually developed by data scientists, who are good at mathematics and computer science. But to deploy and operationalize these models for broader use, you need the devops mindset and tools. We''ll show you how to connect the workflow between the data scientists and devops. We''ll also explore basic continuous integration and delivery concepts and how they can be applied to deep learning models. Using a number of AWS services, we''ll showcase how you can take the output of a deep learning model and deploy it to perform predictions in real time with low latency and high availability. In particular, we''ll showcase the ease of deploying DL to predict functions using Apache MXNet (a deep learning library), Amazon ECS, Amazon S3, and Amazon ECR, Amazon developer tools, and AWS CloudFormation.
 
Topics:
AI Application, Deployment & Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8173
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