BioNeMo Framework provides domain-specific, optimized model recipes and tooling for accelerating biomolecular AI model development. It offers pre-built recipes for training transformer models like ESM-2 on protein sequence data, integrated with PyTorch and GPU acceleration for scalable computational resources. The framework targets researchers and engineers building AI systems for drug discovery and digital biology workflows.