NVIDIA-NTU Artificial Intelligence and High-Performance Computing Application Research Program

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Title

Office

NVIDIA-臺大人工智慧聯合研究中心

TIME

2026/1/13 下午 01:47:49

Content

1. Background:
The establishment of the NVIDIA-National Taiwan University Artificial Intelligence Joint Innovation Center （NVIDIA-NTU AI Center） aims to promote the development and application of artificial intelligence research technology in Taiwan and foster talent. The primary goal of this call-for-project is to connect NVIDIAs high-performance GPU computing resources with National Taiwan Universitys interdisciplinary research teams, jointly pushing forward the development and application of artificial intelligence technology in Taiwan. It is hoped that this proposal can accelerate the development and realization of AI application technologies and simultaneously cultivate more outstanding talent in artificial intelligence.

2. Call for Topics:
● Generative AI and Digital Twin: Including but not limited to applications of generative AI and digital twins in fields such as music, image, finance, law, manufacturing, and smart cities.

● Physical AI: Research on embodied intelligence and robotic systems. This includes using multimodal foundation models to enable robots to perceive, understand, and interact with the physical world； or using simulation environments to conduct Sim-to-Real training and deployment, applicable to autonomous vehicles, industrial robots, and humanoid robots.

● Large Language Models （LLMs）: Development and research of technologies related to large language models in speech and natural language processing, as well as their application in various real-world scenarios.

● Physics-Informed Neural Networks （PINNs）: Developing PINNs for scientific computing by combining causal relationships described by governing partial differential equations （PDEs） in physics with simulated data from CAE solvers or observational data. This is applicable to accelerated computations in fields such as fluid dynamics, electromagnetism, and thermodynamics.

● Quantum Computing Simulation: Conducting research in quantum computing simulation, such as assisting researchers in simulating quantum systems on conventional computers （GPUs） to explore the potential of quantum algorithms and quantum computing.

● Drug Discovery: Research related to drug development, such as applying deep learning techniques to drug molecule design, protein structure prediction, and virtual screening.

● Healthcare: Research and applications in medical imaging analysis, genomics, and smart healthcare, using AI technologies to improve clinical diagnosis accuracy, surgical assistance, and treatment outcomes.

● Data Processing Unit （DPU） Applications: Innovative research on using DPUs to offload and accelerate networking, storage, and security tasks.

● Other Topics Related to NVIDIA SDK: Innovative applications developed using the technologies and tools provided by NVIDIA SDK, preferably those requiring large-scale computation.

3. Principal Investigator （PI） Qualifications: The Principal Investigator （PI） must be an Assistant Professor or above at National Taiwan University, whereas no specific eligibility requirements apply to Co-Principal Investigators （Co-PIs）.

4. Application Method: From the announcement date until March 31, 2026, please email the application form （see attached file for details） to the following email address:　nvidia-ntu-applied-research@googlegroups.com. Please write the application form in English.

5. Review Process: The project application will be jointly reviewed by a committee composed of NVIDIA and National Taiwan University （NTU） members. The project review will be based on three main assessment criteria.
● High-performance Computing Demand and Use of NVIDIA SDK: The review committee will assess the applications need for high-performance computing resources and how effectively the applicant plans to utilize NVIDIA SDKs in their research. Applicants are encouraged to provide specific information for computing demand estimation, such as model size, dataset scale, complexity of simulation or computation tasks, expected GPU usage, or training time. Projects with substantial GPU demands or clearly defined compute requirement assessments will be given priority.

● Project Impact: The review committee will evaluate the anticipated impact of the application plan on various fields such as science, engineering, or society.

● Project Feasibility: This includes assessing whether the research plan is practically feasible, such as whether there is a feasible experimental design, sufficient time and resources to complete the research, etc.

A total of five places are expected to be offered for this call-for-project. The committee will complete the review process and announce the results by May 31, 2026. The project can last up to 3 months, with a recommended start date no earlier than August 1, 2026.

6. Resource: Each selected research project will receive up to three months of computational resource assistance, according to the needs stated in its application and the review results. NVIDIAs professional Solutions Architect （SA） team will offer technical guidance. During the execution of the entire core research plan, the SA team will provide technical support during business hours.

7. Rights and Obligations
● Each research project should cooperate as per the NVIDIA-NTU AI Centers requirements, assisting in understanding and monitoring the projects progress. This includes planning for academic research exchanges, scheduling, and updates on research progress.

● Within two months of the projects completion, a final report must be submitted. This report should encompass detailed information about the entire project, including but not limited to its objectives, methods, implementation process, findings, and conclusions. The report has no specific format, but its length should be at most 20 pages.

● Any research outcomes from the selected project, if published in international conferences, academic journals, newspapers, magazines, or exposed on social media, should include a note acknowledging the support from this program. If a collaboration with the NVIDIA SA team has occurred, they should be listed as co-authors in the publication.

● For intellectual property rights arising from original innovative technologies of the NVIDIA-NTU AI Center or NVIDIA developed through this project, ownership issues will be determined based on the contributions of both parties and the pre-established agreement.

8. Matters needing attention
This project provides one-time large-scale computing power, which is especially suited for training large models. However, this computing power type is unsuitable for the inference phase. When participating in this project, it is recommended that teams plan and prepare carefully. For example, teams can gather all the necessary data beforehand and run initial tests and adjustments on smaller models. This way, when they use the large-scale computing power, they can complete the training smoothly and make the most of this valuable resource.

NVAITC Proposal Template download：
https://drive.google.com/drive/folders/1pQloaj48kTT1AKQx3lqMoF_XqY_AdTWn

Fee

Free

Active Date

2026/1/13 - 2026/3/31

Active Place

Contact

NVIDIA-NTU Research Center

nvidia-ntu-applied-research@googlegroups.com

Reader

Faculty/Staff, Others

Attach Files	File size
Proposal	52760 Bytes

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