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The 234-entry backend matrix runs the same apt-update + GPU SDK install + Python toolchain bootstrap into N independent registry-cache tags. Factor that shared work out into a tier-1+2 base image (lang × accel × ubuntu × cuda) built once per workflow run, then consumed by every backend that matches its tuple via BASE_IMAGE_PREBUILT. The matrix data moves to .github/backend-matrix.yaml so backend.yml can switch to fromJSON without duplicating the matrix. scripts/changed-backends.js reads the data file, derives the deduplicated bases-matrix, annotates each Python entry with the right base-image-prebuilt ref, and runs a collision check that fails loudly if a future matrix change makes two consumers want incompatible bases under the same tag-stem. PR builds tag with -pr<N> so end-to-end validation lives within one PR; master builds tag without the suffix. The base-images registry cache parallels the existing per-matrix-entry caches. Adding a new (accel, cuda) flavour is a backend-matrix.yaml edit; adding a new language tier is a Dockerfile.<lang> recipe + a slim of the consumer Dockerfile (script auto-detects via .docker/bases/). 10 distinct bases derive from the current 234 entries, replacing the inline bootstrap that previously ran into ~10 separate cache tags. Assisted-by: Claude:opus-4-7-1m [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com>