Storage
Providing persistent and high-performance storage solutions for AI/ML workloads running on Google Kubernetes Engine (GKE).
Providing persistent and high-performance storage solutions for AI/ML workloads running on Google Kubernetes Engine (GKE).
This guide provides instructions for how to hydrate GCS buckets with models from Hugging Face with a Kubernetes Job.
This guide uses the Google Cloud API to create a Hyperdisk ML disk from data in Cloud Storage and then use it in a GKE cluster. Refer to this documentation for instructions all in the GKE API.