January 2026 monthly summary for NVIDIA-NeMo/Automodel: - Key features delivered: Implemented LoRA integration for custom Mixture of Experts (MoE) models within Automodel, enabling low-rank adaptation to MoE architectures. Includes new configurations and modules to integrate LoRA with existing MoE layouts, facilitating faster experimentation and reduced compute for deployment. Commit: 2a2094737ff4b89269a773a97cf9d054eae3d53c (feat: Support LoRA for custom MoEs). - Major bugs fixed: No major bugs fixed this month. - Overall impact and accomplishments: LoRA integration enhances model performance and scalability while reducing training and inference costs, accelerating time-to-value for MoE deployments and enabling broader experimentation with adapters in production workflows. - Technologies/skills demonstrated: Low-Rank Adaptation (LoRA), Mixture of Experts (MoE), NVIDIA NeMo/Automodel, modular configuration design, adapter integration, commit-based traceability.