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Accelerating and Scaling Biological Sciences With AI

The Chan Zuckerberg Initiative

The Chan Zuckerberg Initiative (CZI) invites proposals to build large-scale AI/ML models that cannot be created with conventional university resources. CZI is the only philanthropic organization to fund and build one of the largest computing systems dedicated to nonprofit life sciences research in the world. CZI’s cluster is optimized for AI and machine learning training at scale and comprises 1,024 Nvidia H100 GPUs in an NVIDIA DGX SuperPOD configuration with access to VAST fast data storage.

Through competitive allocation of computing power on CZI’s high-performance computing cluster, we will support inspired and cutting-edge model building that will power new approaches to biological discovery.

This grant is for an allocation of CZI’s GPU resource (minimum request of 96 GPU). This is an in-kind award; there are no cash funds, financial contributions, or fees of any kind associated with the award.

Specialties

Artificial Intelligence

Technology Development

Natural Language Models

Eligibility Requirements

Applications will be accepted from domestic (all collaborating and lead institutions based in the United States) nonprofit organizations, including public and private institutions, such as colleges, universities, hospitals, laboratories, and governmental agencies. For-profit organizations are not eligible to apply. All resource-allocation grants will be awarded to institutions, not individuals.
An organization may submit more than one application (i.e., multiple applicants from the same organization may apply).
Each application should designate one Principal Investigator (PI) as the Coordinating Principal Investigator (Coordinating PI). Applications may also designate other PIs (Co-PIs; maximum of three). The Coordinating PI will act as the administrative contact between CZI and all other PIs, if any listed on the proposal. The Coordinating PI must submit the application on behalf of all Co-PIs. The Coordinating PI must be affiliated with the institution submitting the application.
All PIs and Co-PIs must hold a faculty position or equivalent independent investigator status at a domestic (U.S.-based) non-profit college, university, medical school, or other non-profit research facility located within the United States. Note that non-tenured and tenured faculty are eligible to apply.
PIs may serve as Coordinating PI on multiple applications provided that the proposed scope of work for all applications is non-overlapping.
Projects must propose to utilize at least 96 GPUs on the CZI cluster during the large training phase, with the expectation to scale up over time supported by a clear and well-defined plan.
Meta employees, including employees of any subsidiary Meta entities and employees of the Chan Zuckerberg Initiative, LLC, are not permitted to apply.
CZI reserves the sole right to decide if an applicant and applicant organization meet the eligibility requirements.

Eligible Countries:

United States

Sponsor Details

Sponsor Institute/Organizations: The Chan Zuckerberg Initiative

Sponsor Type:

Address: The Chan Zuckerberg Initiative, Redwood City, California

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