This study aims to investigate the feasibility of single-step genomic BLUP (ssGBLUP) for American Angus evaluation. Over 6 million records were available on birth weight (BW) and weaning weight (WW), 3.4 million on post-weaning gain (PWG), and 1.3 million on calving ease (CE). Genomic information was available on 51,883 animals. Realized accuracies were based on a validation population of 18,721 young animals born in 2013. Traditional and genomic EBV were computed by BLUP and ssGBLUP, respectively, using a multiple-trait linear model for growth traits and a bivariate threshold-linear model for CE-BW. Additionally, 2 methods for handling a large number of genotyped animals were tested: indirect prediction (IND) based on SNP effects derived from ssGBLUP, and algorithm for proven and young (APY) that uses genomic recursions on a small subset of reference animals to invert the genomic relationship matrix (G). All ssGBLUP, IND_ssGBLUP, and APY_ssGBLUP were based on reference populations of about 2000 high accuracy sires and cows (2k), 2k + all genotyped ancestors of the validation population (8k), and 8k + all remaining genotyped individuals not in the validation (33k). With BLUP, realized accuracies were 0.48, 0.67, 0.52, and 0.29 for BW, WW, PWG, and CE, respectively. With ssGBLUP and the 2k (33k animals) reference population, the accuracies were 0.55, 0.71, 0.60, and 0.31 (0.62, 0.78, 0.65, and 0.31), respectively. Low accuracy for CE was due to many missing records and low incidence rate. With 8k reference population, index of indirect prediction with parent average was as accurate as prediction from regular ssGBLUP. With 33k reference population, indirect prediction alone was as accurate as prediction from regular ssGBLUP. APY with recursions on 4k (8k) animals reached 97% (99%) of regular ssGBLUP accuracy; the cost of APY inverse of G is 1% (4%) of the regular inverse. The genomic evaluation in beef cattle with ssGBLUP is feasible while keeping the same models already used in regular BLUP. Indirect predictions allow for low cost interim evaluations. Use of the APY allows for inclusion of large number of genotyped animals in the main evaluation.