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Accelerating and Scaling Biological Sciences With AI
In-kind GPU support for AI biological research
Last Update: April 21, 2026
Funding available
Varies by project
Timeline
- Open Date : January 9, 2025
- Closing date : June 18, 2025
Location
Canada
Overview
This program provides up to 96 GPUs or more in in-kind computing support for AI-driven biological science research. It supports large-scale model development and training aligned with virtual cell research and CZI’s mission.
/100
Opportunity Score
Moderate potential, but conditions must align.
At a glance
Funding available
Financing goals
- Increase performance through digital transformation
- Increase production or service capacity
- Increase operational productivity
Eligible Funding
- Varies by project
Timeline
- Open Date : January 9, 2025
- Closing date : June 18, 2025
Eligible candidates
Eligible Industries
- Professional, scientific and technical services
- Educational services
- Health care and social assistance
- Public administration
Location
- Canada
Legal structures
- All legal structures
Annual revenue
- All revenue ranges
Organisation size
- All organization sizes
Audience
- All groups
Next Steps
1
Determine your project
2
Validate your eligibility
Activities funded
- Development of large-scale AI/ML models for biological discovery.
- Training and scaling virtual cell-related models.
- Biomedical research using CZI high-performance GPU computing resources.
Documents Needed
- Institutional Approval Form
- Project proposal PDF
- Biosketches for the Coordinating PI and Co-PIs
- Project abstract and milestones
- Relevant code repository links
Eligibility
Who is eligible?
- U.S.-based nonprofit organizations
- Colleges and universities
- Hospitals and laboratories
- Governmental agencies
Who is not eligible
- For-profit organizations
- Meta employees and employees of Meta subsidiaries
- Chan Zuckerberg Initiative employees
- Individuals applying on their own
Ineligible Costs and Activities
- Cash funding or financial contributions.
- Fees of any kind associated with the award.
- Projects using protected health information.
- Projects involving non-de-identified human data.
- Applications from for-profit organizations or Meta employees.
Eligible geographic areas
- United States
Processing and Agreement
- Applications are downloaded for review on scheduled monthly dates during the open period.
- Applications are evaluated through independent expert peer review.
- Final decisions are made by CZI staff in consultation with scientific advisors.
- No feedback is provided for proposals not selected.
- Selected projects proceed under CZI’s policies and reporting requirements.
Additional information
- Applications are reviewed on a rolling basis.
- Applications should be submitted early, as resources may be fully allocated before the deadline.
- The award is an in-kind allocation of GPU computing power only.
- Selected projects may be shared publicly through CZI platforms.
Contacts
Frequently Asked Questions about the Accelerating and Scaling Biological Sciences With AI Program
Here are answers to the most common questions about the Accelerating and Scaling Biological Sciences With AI. This section explains what the program is, how much funding is available, eligibility requirements, application deadlines, and other important details to help you determine if this grant is right for your business.
What is the Accelerating and Scaling Biological Sciences With AI?
This program provides up to 96 GPUs or more in in-kind computing support for AI-driven biological science research. It supports large-scale model development and training aligned with virtual cell research and CZI’s mission.
What is the deadline to apply?
The application deadline for this grant program was June 18, 2025.
Who is eligible for the Accelerating and Scaling Biological Sciences With AI program?
To be eligible for the Accelerating and Scaling Biological Sciences With AI program, you must:
U.S.-based nonprofit organizations only
Project must scale to at least 96 GPUs
Institutional sign-off required
What expenses are eligible under Accelerating and Scaling Biological Sciences With AI?
Development of large-scale AI/ML models for biological discovery.
Training and scaling virtual cell-related models.
Biomedical research using CZI high-performance GPU computing resources.
Who can I contact for more information about the Accelerating and Scaling Biological Sciences With AI?
You can contact Chan Zuckerberg Initiative (CZI) by email at sciencegrants@chanzuckerberg.com or by phone at none.
Where is the Accelerating and Scaling Biological Sciences With AI available?
The Accelerating and Scaling Biological Sciences With AI program is available across Canada.
Is the Accelerating and Scaling Biological Sciences With AI a grant, loan, or tax credit?
Accelerating and Scaling Biological Sciences With AI is a Researchers And Facilities