A mix of money, data and computing
Biohub describes the expansion as a $1.8 billion combined commitment from the nonprofit, federal agencies and private partners. That total covers more than cash: It also counts existing data, computing capacity and measurement technology intended to support AI models of biology.
The announced contributions break down in several ways:
- Google DeepMind, Isomorphic Labs and Meta will collectively invest $300 million in the Virtual Biology Initiative.
- The U.S. Department of Energy will invest more than $500 million over five years in cell research, data collection, imaging, modeling and computation through its Genesis Mission.
- The National Institutes of Health will coordinate datasets and repositories developed through more than $500 million in prior federal investment. Biohub will work with NIH to standardize those resources for AI training.
- Biohub's founding $500 million commitment includes $400 million for new measurement technologies and $100 million for research outside the organization.
The distinction between new spending and existing resources matters. NIH's contribution is not described as another new $500 million check. It is bringing previously funded biomedical data and infrastructure into the effort.
Building a shared biology data layer
The initiative aims to create open, standardized, multimodal datasets that researchers can use to train models predicting how biological systems behave. Its planned data will cover how cells respond to interventions across more cell types and conditions, alongside tools for studying cells and their interactions at greater scale.
Google DeepMind executive Pushmeet Kohli said the partnership is meant to generate the experimental data needed for predictive biology models. Biohub says it will also work on shared standards, common identifiers and a single access point so datasets from different institutions can be used together.
The longer-term goal is to let scientists test biological questions digitally. That is the initiative's stated ambition, not evidence that the resulting models can already predict disease or speed up treatments.
A broader research network
The Allen Institute, Broad Institute, Gladstone Institutes, Human Cell Atlas, Human Protein Atlas and Wellcome Sanger Institute are joining the effort. NVIDIA will support the initiative's use of accelerated computing infrastructure, domain-specific software and technical expertise, while Renaissance Philanthropy is helping expand funding for data generation.
Biohub announced the Virtual Biology Initiative in April 2026. The expansion gives that project a larger mix of funders, public data and research infrastructure, with the resulting resources intended to remain open to the scientific community.
