IBM used a curated dataset of 13 trillion tokens to train Granite 4.1. The models utilize a mixture-of-experts architecture to balance performance and efficiency. This technical deep-dive reveals how the team optimized for enterprise-grade reliability. Developers can now leverage these open-weights models for specialized business tasks without sacrificing inference speed or accuracy.