Pharmaceutical companies often prioritize drug development for high-income countries, leaving lower-income regions underserved. The nonprofit Ersilia Open Source Initiative aims to address this imbalance by providing AI/ML models for drug discovery focused on infectious diseases in underserved areas through the Ersilia Model Hub. This platform, in collaboration with GitHub engineers, offers a self-service IssueOps process allowing researchers to access and run models for free, particularly benefiting institutions in Sub-Saharan Africa. Ersilia partners with centers like the University of Cape Town's H3D Centre and the University of Buea's Center for Drug Discovery in Cameroon, with funding support from entities like the Bill & Melinda Gates Foundation. The hub's models, curated from scientific literature and developed in-house, are open source, and researchers can utilize them through GitHub Actions without cost. The initiative supports drug discovery by facilitating computational predictions that can identify potential treatments for neglected diseases, potentially repurposing existing drugs. The process is enhanced by Docker containers, enabling consistent and accessible model execution. Ersilia's growth as an open-source community is bolstered by its designation as a Digital Public Good by the United Nations, and it continues to seek contributions to expand its impact.