2026 Round - Huang Complex Supercomputing Seed Fund

2026 Round - Huang Complex Supercomputing Seed Fund is sponsored by Oregon State University. Supports OSU research teams seeking to achieve significant scientific, societal, economic, and workforce impacts through advanced computing.

2026 Round - Huang Complex Supercomputing Seed Fund | Division of Research and Innovation | Oregon State University Economic Development and Industry Relations Office for Sponsored Research and Award Administration Office of Research Integrity Conflicts of Interest in Research Export Control & International Compliance Institutional Animal Care and Use Committee Human Research Protection Program Responsible Research Practices Office for Research Advancement Research Computing Office Research Support Services Additional Centers and Research Institutes at OSU Research Computing Portal Governance and Advisory Groups Research Computing 2030 Task Force Recommendations 2026 Round - Huang Complex Supercomputing Seed Fund When the Jen-Hsun Huang and Lori Mills Huang Collaborative Innovation Complex opens in 2027, it will host a leadership-class AI supercomputer based on NVIDIA Rubin GPUs, NVIDIA Vera CPUs, and RTX PRO 6000 Blackwell systems.

These resources will support a broad range of computational research activities across science, engineering, health, agriculture, humanities, and the social sciences Projects may utilize artificial intelligence, simulation, data-intensive analytics, visualization, digital twins, machine learning, scientific computing, or other advanced computational approaches. Applicants do not need to use a specific computational methodology.

Proposals will be evaluated primarily on their potential impact and the degree to which access to Huang Complex resources is essential to achieving that impact.

Technical Design of the Huang Complex Supercomputer Budget and Budget Justification General Track: Projects that advance one or more Prosperity Widely Shared focus areas, including climate science, clean energy, robotics and AI, integrated health and biotechnology, and foundational research in AI, data science, research computing, social sciences, arts, and humanities.

Bioengineering and Biosciences Track: Projects that apply advanced computing to challenges in human health, biotechnology, biomanufacturing, precision medicine, forensic science, or related fields. Special consideration will be given to projects that position researchers for future collaboration involving multiple Oregon institutions.

For both tracks, applicants should clearly explain the research opportunity, the anticipated impact and how seed funding will position the team for future sponsored research.

Technical Design of the Huang Complex Supercomputer The Huang Complex supercomputer is designed for research that requires large-scale computing, including artificial intelligence, machine learning, simulation, visualization, digital twins, data-intensive analysis and other advanced computational work.

It will differ from many traditional academic supercomputers, which are often built around CPU servers (Intel or AMD) with GPU accelerators configured for parallel processing. Because of this architecture, some research applications, software or workflows may need to be adapted to take full advantage of the system. At the center of the system will be two NVIDIA Vera Rubin NVL72 racks .

Together, these racks are expected to include 144 NVIDIA Rubin GPUs, 42 terabytes of high-bandwidth GPU memory and 150 terabytes of system memory. Each pair of Rubin GPUs will be supported by a Vera ARM-based CPU. This design is intended to support demanding research workloads that require close coordination across many GPUs, including AI training, inference and large-scale scientific computing.

The system will use NVIDIA NVLink and NVLink Switch technology to allow GPUs to communicate with one another at very high speed. In practical terms, this helps the system operate less like a collection of separate computing servers and more like a tightly connected, large-scale GPU resource.

This is especially important for projects that need to move large amounts of data quickly between GPUs or scale work across multiple parts of the system. The supercomputer will also include a cluster of NVIDIA RTX PRO 6000 Blackwell servers . These systems will support visual and interactive research applications, including work with digital twins and NVIDIA Omniverse.

Applicants do not need to describe the full technical architecture in their proposals. However, they should explain why access to advanced GPU-based computing is important for their project, what software, models, data or workflows they expect to use, and whether any adaptation or technical support may be needed to run their work effectively on the Huang Complex system.

Examples include improving wildfire prediction, accelerating materials discovery, advancing AI-enabled diagnostics, improving manufacturing processes, strengthening agricultural resilience, enabling new discoveries in fundamental science, integrating large bioscience datasets or creating new computational methods for humanities and social science scholarship.

Project leads must be OSU researchers with a demonstrated record of research accomplishment. Teams may include collaborators from other universities, industry, government laboratories, or nonprofit organizations. Applicants should already possess the data, software, models, workflows, or research foundation necessary to make meaningful progress during the award period.

Applicants should demonstrate: • Existing computational workflows or software. • Access to required data. • A realistic plan for utilizing advanced computing resources.

• A feasible timeline and milestones. • A clear understanding of anticipated resource requirements. Applicants should demonstrate: • A compelling scientific or scholarly opportunity.

• Potential societal, economic, educational, or workforce benefits. • A pathway toward future external funding. • The importance of advanced computing resources to project success.

The maximum budget request is $50,000. Successful projects may request an additional $25,000 after one year upon demonstration of meaningful progress toward project objectives and external funding readiness. Applications will be submitted through OSU’s internal submission platform, InfoReady .

Applicants who do not already have an InfoReady account will need to create one using their ONID.

The online application includes the following: • Name, title, and unit of project lead (PI) • Name, title, and affiliation of other known team members, including external team members • Identification of the funding track the project is most aligned with (see Funding Tracks above) • Name of the application to be scaled up or used for the digital twin • Brief abstract of the intended project (100 words maximum) • Total budget requested (up to $50,000) Applicants must also upload the following supplemental documents in InfoReady: Required: Narrative Plan (see below for details) Required: Itemized Budget , using required template (see below for details).

Pre-award support personnel in your college are essential partners in developing the budget and justification. Required: Detailed Budget Justification , using required template Required: Updated CV/Resume for each committed team member that captures relevant expertise (a two-page CV is recommended) Project information and team roster. Project abstract (maximum 100 words).

Budget and Budget Justification. The application should identify the computational tools, software, datasets, workflows, or models that will be advanced through the project. The narrative should be organized into the following sections: a.

Problem being addressed b. Importance and relevance b. Societal/economic impact c.

Workforce and/or educational impact d. Alignment with Prosperity Widely Shared priorities. Role of Advanced Computing a.

Why Huang Complex resources are needed b. Expected computational requirements a. Target sponsors and opportunities b.

Anticipated proposal timeline c. How project outcomes strengthen competitiveness. Technical Readiness and Implementation Plan b.

Required software development c. Milestones and schedule d. Resource requirements and support needs.

Budget and Budget Justification Budgets should reflect the costs needed to complete the scope of work described in the narrative plan. The maximum budget request is $50,000. Projects may request an additional $25,000 later when the annual report is submitted, based on progress and readiness for future funding.

No matching funds are required. Applicants must consult with their home college(s) and/or unit[RK1. 1][PT1.

2] before submission. Please contact your pre-award support team as early as possible for budget development and completion of the budget and budget justification templates. If you do not know who in your college or unit provides this support, reach out to your Associate Dean for Research.

The completed budget and justification must be uploaded to the InfoReady platform for your application to be reviewed. You can download the budget template [insert when available] and the budget justification template [insert link when available] by logging in with your ONID.

Allowable Expenditures: Allowable expenditures include but are not necessarily limited to: PI salary and OPE, including summer effort and academic year effort1 if newly allocated for the purpose of this award; honoraria to external collaborators or advisors; incentives and other costs that support external partner engagement; research support staff including students and postdoctoral scholars who are directly contributing to the scope of work; materials, subscriptions, equipment use associated with producing preliminary results; travel; and meeting facilitation and hosting.

Costs must represent new investments or allocations of effort to research development and cannot offset ongoing college or unit costs. 1 Requests for academic year salary do not guarantee course buyouts. Course buyouts must be arranged at the discretion of the department head separate from this application process.

We encourage you to talk with your unit leadership about the availability and cost of a buyout before applying. Not Allowable Expenditures: Expenditures for capital equipment, subawards, indirect costs, or expenses related to obtaining data needed to test scaling up your application or during a hero run. The Budget Justification must clearly state how each expense will support the proposed work.

Proposals will be evaluated based on: Potential scientific impact. Potential societal and economic impact. Alignment with PWS priorities.

Likelihood of generating competitive external funding proposals. Appropriate use of Huang Complex resources. Team qualifications and readiness.

Realism of budget and timeline. Strategic value to OSU research growth. Application Portal Opens: July 1, 2026 Applications Due: October 15, 2026 Awards Announced: January 15, 2027 Award Period Begins: April 1, 2027 For technical questions on the Huang Complex supercomputer or access to GPU resources, contact Dirk Petersen, Director of the Supercomputer Center at [email protected] .

General questions from college leadership or unit directors, or from researchers, should be directed to [email protected] . For help with interpreting budget guidelines prior to submission, please contact your college or unit's pre-award support staff. For technical difficulties with the InfoReady system, please click the Help link in the top-right corner and submit a support ticket.