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    Advanced Computing Systems and Services: Adapting to the Rapid Evolution of Science and Engineering Research 2.0

    Limited submission

    This grant calls for proposals to provide advanced computing resources for scientific research to democratize access and support diverse community representation.

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    Limited Submission Grant Opportunities

    This grant is no longer accepting proposals

    U.S. National Science Foundation has archived this opportunity.

    Funder: National Science Foundation

    Due Dates: October 29, 2024 (Category I) | June 24, 2025 (Category II)

    Funding Amounts: Category I: $10M–$20M per award (up to 5 years) | Category II: up to $5M per award (up to 5 years)

    Summary: Supports organizations to provide advanced cyberinfrastructure resources and services for computation, data analysis, and AI research across all science and engineering fields, with a focus on democratized and equitable access.

    Key Information: Strict limits: one proposal per organization and per PI/co-PI per competition; user support/operating costs not included in proposal budget.


    Description

    This opportunity from the National Science Foundation (NSF) seeks proposals from organizations to serve as resource providers within the Advanced Computing Systems and Services (ACSS) program. The goal is to provision advanced cyberinfrastructure (CI) resources—both systems and services—to support the full spectrum of computational, data-analytic, and AI-driven research in science and engineering (S&E). The program emphasizes democratized, equitable access and aims to broaden participation among underrepresented groups and institutions.

    Two categories of resources are supported:

    • Category I: Capacity Resources — Large-scale, production computational resources to maximize capacity for S&E research.
    • Category II: Innovative Prototypes/Testbeds — Forward-looking, experimental systems or services deploying novel technologies, architectures, or usage modes.

    At least 90% of the provisioned resources must be made available to the S&E community through an open, peer-reviewed national allocation process, coordinated via NSF’s ACCESS program, the National AI Research Resource, or an NSF-approved alternative.


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