One thing we've shipped last year and that I'm looking forward to iterating more on later this year: TensorFlow Cloud. Train your TF/Keras model in a distributed way on GP by just adding one line to your local script / Colab notebook / Kaggle notebook.https://www.tensorflow.org/guide/keras/training_keras_models_on_cloud …
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Already using distributed training for some time in other forms, and this looks very easy, but the pipelines I have are multi-cloud so this couldn’t work in those cases.
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I'm curious, what did you build?
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I was low-key hoping there would be on demand GPU-powered VMs But anyways, will try this soon
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