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GTC ON-DEMAND

Presentation
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Abstract:
We'll describe how our startup, AITRICS, built time- and cost-efficient machine learning pipelines. We'll explain how to configure the clustering between physical servers and the on-demand cloud server with terraform and kubernetes. We'll highlight problems we're trying to solve such as sensitive data management, permission control, model evaluation, and versioning/serving. We will also cover our flexible, scalable training farms for researchers, developers, and collaborative research groups. These farms are also available for deploying trained models.
We'll describe how our startup, AITRICS, built time- and cost-efficient machine learning pipelines. We'll explain how to configure the clustering between physical servers and the on-demand cloud server with terraform and kubernetes. We'll highlight problems we're trying to solve such as sensitive data management, permission control, model evaluation, and versioning/serving. We will also cover our flexible, scalable training farms for researchers, developers, and collaborative research groups. These farms are also available for deploying trained models.  Back
 
Topics:
Data Center & Cloud Infrastructure, AI Application, Deployment & Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9264
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