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Google 与 Meta 联合投资 Biohub：3 亿美元推动 AI 生物学The Verge AIT2Industry & Ecosystem

The Verge AI · 10/7/2026, 2:40:52 PM

Google and Meta Invest $300M in Zuckerberg's Biohub for AI Biology

By Emma Roth
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Executive Summary

Google DeepMind, Meta, and Isomorphic Labs jointly invested $300 million into Mark Zuckerberg's nonprofit Biohub to build large-scale AI datasets for digital biological research. This funding is part of a broader $1.8 billion initiative, signaling deep collaboration among tech giants on AI-driven biomedical infrastructure.

SOURCE COVERAGEOriginal coverage

The Zuckerberg-backed Biohub will use the investment to create AI datasets that help researchers ‘ask, predict, and answer biological questions digitally.’

The Zuckerberg-backed Biohub will use the investment to create AI datasets that help researchers ‘ask, predict, and answer biological questions digitally.’

by Oct 7, 2026, 2 PM UTC

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Photo by Angela Weiss/AFP via Getty ImagesEmma Roth is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.

Google DeepMind, Meta, and AI drug discovery startup Isomorphic Labs are jointly investing 300millionintoBiohub,thenonprofitbiomedicalresearchorganizationfoundedbyMarkZuckerbergandhiswife,PriscillaChan,as[reportedby∗Reuters∗](https://www.reuters.com/business/healthcare−pharmaceuticals/us−government−google−join−zuckerberg−backed−biohub−18−billion−push−ai−biology−2026−10−07/).Thefundingispartof[a300 million into Biohub, the nonprofit biomedical research organization founded by Mark Zuckerberg and his wife, Priscilla Chan, as [reported by *Reuters*](https://www.reuters.com/business/healthcare-pharmaceuticals/us-government-google-join-zuckerberg-backed-biohub-18-billion-push-ai-biology-2026-10-07/). The funding is part of [a 1.8 billion initiative](https://biohub.org/news/virtual-biology-initiative-expansion/) to build AI datasets that could allow researchers to “ask, predict, and answer biological questions digitally,” helping find new ways to prevent and manage diseases.

Founded in 2016, Biohub aims to combat diseases through the creation of a “virtual cell” that researchers can use to carry out simulations. To support this effort, the US Department of Energy will invest more than 500millionoverthenextfiveyears,while[theNationalInstitutesofHealthwillcontributedatasets](https://www.nih.gov/news−events/news−releases/nih−joins−effort−build−si−ready−data−predictive−models−human−biology),repositories,andknowledgebasesstemmingfrompreviousfederalinvestmenttotallingover500 million over the next five years, while [the National Institutes of Health will contribute datasets](https://www.nih.gov/news-events/news-releases/nih-joins-effort-build-si-ready-data-predictive-models-human-biology), repositories, and knowledge bases stemming from previous federal investment totalling over 500 million.

“An accurate predictive model of biology could dramatically accelerate scientific discovery by enabling scientists to perform experiments digitally,” Alex Rives, Biohub’s head of science, says in the press release. “The creation of a virtual cell is one of the most important challenges for the next era of science. It will require coordinated data generation efforts at a national and international scale, which is why these partners are coming together.”

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  • Emma Roth