MirroredStrategy demo for distributed training

Google Cloud Developer Advocate Nikita Namjoshi demonstrates how to get started with distributed training on Google Cloud. Learn how to distribute training across multiple GPUs within a managed Jupyter Lab environment.

Intro to distributed training → https://goo.gle/3FolcIz
Creating and managing GCP projects → https://goo.gle/3mDZ4m7
Vertex AI → https://goo.gle/3FzfmUU
Cloud Storage Quickstart → https://goo.gle/3qsNWcN
Notebook Executor Codelab → https://goo.gle/3etrvPh

Chapters:
00:00 – Introduction
00:40 – Get started with GCP
01:00 – Walking through the notebook’s code
02:46 – Creating a notebook on GCP
05:35 – Modifying the code for distributed training
06:59 – Running the distributed training job
08:41 – Another way to run distributed training
11:18 – The results
11:54 – Thanks for watching!

Watch more ML Tech Talks → https://goo.gle/ml-tech-talks
Subscribe to TensorFlow → https://goo.gle/TensorFlow

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