Biohub, a nonprofit research institute, said on October 7, 2026 that it and partners are committing $1.8 billion to funding, data, computing and new lab tools. The goal is open data for training AI models of biology. The Verge, citing Reuters, reported the same figures and said Mark Zuckerberg and Priscilla Chan founded Biohub.
Biohub's release lists the parts. Its own founding $500 million belongs to the initiative announced in April. The Department of Energy plans to spend over $500 million across five years. The National Institutes of Health will coordinate datasets built with more than $500 million of earlier federal money. Google DeepMind, Isomorphic Labs and Meta give $300 million together. The release does not say how much is newly committed today, so the April money and NIH's datasets are not fresh cash. It gives no date for working models and no access terms.
Isomorphic Labs' Max Jaderberg said the data needed goes beyond what any one organisation can produce. Google DeepMind's Pushmeet Kohli called for open experimental data at unprecedented scale. Biohub plans shared standards, common identifiers and one access point so datasets work together. For pharma R&D and cloud or AI budget owners, the open questions are licence terms and how much users will depend on that single access point.