Amazon AI: Model Serving for Deep Learning with MXNet and ONNX

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Join Amazon AI for a tech talk and happy hour at the Amazon Toronto office on Tuesday, July 3 from 6-8:30 PM.

Hagay Lupesko, Software Development Manager, will be presenting, "Model Serving for Deep Learning with MXNet and ONNX" followed by a happy hour and heavy appetizers.

Interested in learning more but can't attend? Reach out to aws-ai-event-recruiting@amazon.com for more information.

WHERE: 120 Bremner Blvd Floor 26 Room 103-104, Toronto, ON M5J, Canada

WHEN: Tuesday, July 3 6:00-8:30 PM

Model Serving for Deep Learning with MXNet and ONNX

Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges. During the talk, we will discuss scalable deployments with containers, how to achieve cross framework support with ONNX, and other relevant topics for deep learning beginners and practitioners.

More about Hagay Lupesko

Hagay has been busy building software for the past 15 years, and still enjoys every bit of it (literally)! He engineered and shipped products across various domains: from 3D cardiac imaging with real time in-vessel tracking, through semi-conductors fab systems that measures structures the size of molecules, and up to web apps that scale to millions of users world wide.

He is currently an Engineering Leader at Amazon AI, working on Deep Learning.