Faster AI/ML container startup with additional storage in Red Hat OpenShift 4.22

OpenShift 4.22 introduces a Technology Preview feature that gives cluster administrators control over where CRI-O stores container image layers, OCI artifacts, and complete images. Three new ContainerRuntimeConfig API fields address key AI/ML pain points: additionalArtifactStores for placing large ML models on dedicated SSD storage, additionalImageStores for shared read-only image caches to avoid redundant registry pulls across nodes, and additionalLayerStores for lazy image pulling via plugins like stargz-store. The Machine Config Operator translates these settings into storage.conf and CRI-O drop-in config files, requiring a node reboot. All three options are gated behind the AdditionalStorageConfig feature gate under TechPreviewNoUpgrade, meaning clusters using it cannot perform minor version upgrades until GA.