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GTC ON-DEMAND

Presentation
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Abstract:
Building machine learning pipelines is challenging. Doing that in a portable way that supports multi-cloud deployments is even harder. We'll discuss the open source project, Kubeflow, which is designed to allow data scientists and machine learning engineers to focus on building great ML solutions instead of setting up and managing the infrastructure. We'll detail the latest version of Kubeflow and its integration with TensorRT, the inference server from NVIDIA.
Building machine learning pipelines is challenging. Doing that in a portable way that supports multi-cloud deployments is even harder. We'll discuss the open source project, Kubeflow, which is designed to allow data scientists and machine learning engineers to focus on building great ML solutions instead of setting up and managing the infrastructure. We'll detail the latest version of Kubeflow and its integration with TensorRT, the inference server from NVIDIA.  Back
 
Topics:
AI Application, Deployment & Inference, Data Center & Cloud Infrastructure, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9456
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