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GTC ON-DEMAND

Data Center & Cloud Infrastructure
Presentation
Media
How To Build Efficient ML Pipelines From the Startup Perspective
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.
 
Topics:
Data Center & Cloud Infrastructure, AI Application, Deployment & Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9264
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