Kubeflow: Tensorflow on Kubernetes

on YouTube ↗36m

" summary

Kubeflow on Kubernetes to run TensorFlow: explains deploying Kubeflow to make TensorFlow model training portable, repeatable and scalable on Kubernetes. Covers using GPUs with Kubernetes to accelerate training and demonstrates training a model via JupyterHub.

AI-written summary · about

" chapters (12)

1. 0:00Kubeflow intro
2. 3:51Kubeflow on MiniKube
3. 7:02JupyterHub data exploration
4. 9:06TensorFlow model export
5. 10:53TensorFlow training on K8s
6. 13:04Distributed training with TFJobs
7. 16:56Hyperparameter tuning with Katib
8. 21:17Model serving with TF Serving
9. 25:13Zero-downtime model updates
10. 27:00Traffic management with Istio
11. 30:30Model monitoring with Prometheus
12. 32:14Kubeflow summary

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