Storage articles

Mount model artifacts with Kubernetes image volumes

Separate immutable model files from the serving image with Kubernetes image volumes, and choose when an OCI artifact fits better than a download or PVC.

Restore notebook workspaces from volume snapshots

Create a CSI snapshot of a notebook workspace, restore it into a separate PVC, and verify files and application state before switching workspaces.

Persist AI agent memory beyond the sandbox

Persist agent memory outside Polyaxon sandbox lifetimes using application stores, scoped connections, versioned snapshots, and reproducible evaluation.

Choose state lifetimes for AI agent workspaces

Choose appropriate lifetimes for agent process memory, sandbox files, persistent volumes, artifacts, and application state in Polyaxon.

Troubleshoot FailedAttachVolume and FailedMount

Diagnose Kubernetes volume failures across claims, provisioning, topology, attachment, node mounts, permissions, and workload ownership.

Azure Storage best practices for ML data and artifacts

Design Azure Storage accounts for ML datasets and artifacts with clear boundaries, workload identities, network controls, lifecycle rules, and recovery tests.

Plan GCP Persistent Disk for ML workloads

Choose, size, monitor, and retire Google Cloud Persistent Disk volumes for training, notebooks, caches, and stateful ML services.