CoreWeave Data Handling Overview CoreWeave GPU cloud workloads involve large-scale data artifacts: model weights (multi-GB safetensors/GGUF), training datasets (parquet, TFRecord, WebDataset), checkpoint snapshots, and inference cache volumes. Data flows through Kubernetes PersistentVolumeClaims backed by region-specific storage classes. Compliance requires encryption at rest via the storage driver, namespace-scoped RBAC for volume access, and audit logging for any data egress from GPU nodes. Data Classification | Data Type | Sensitivity | Retention | Encryption | |-----------|-------------|-…