Google published a blog post by Drew Bradstock detailing best practices for dynamic capacity management on Google Cloud, including scheduling VM, GPU, and TPU resources using the Dynamic Workload Scheduler, automating fallbacks with Managed Instance Groups, and orchestrating via GKE.

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