A deep learning model was trained on 6,299 blastocyst images from four IVF centres in Europe and Latin America to automate full Gardner grading (expansion, ICM, TE). It reached a multiclass AUROC of 0.913 and 83.7% top-5 accuracy, with performance holding steady across centres despite equipment and protocol differences.