DYNAMIC RESOURCE SCHEDULER FOR DISTRIBUTED DEEP LEARNING TRAINING IN KUBERNETES
Distributed deep learning is a method of machine learning that is used today due to its many advantages. One of the many tools used to train distributed deep learning model is Kubeflow, which runs on top of Kubernetes. Kubernetes is a containerized application orchestrator that ease the deploymen...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/48067 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |