Q1. For applicants affiliated with an academic institution, is professorial status required? Are graduate or doctoral students eligible to apply independently?
Only professors at academic institutions may serve as the Principal Investigator for this project.
Q2. In addition to submitting the online application form, is a project proposal also required?
Please download the Project Application Form, complete it, convert the file to PDF format, and upload it to the corresponding section of the Google Form.
Q3. Are standardized formats or electronic templates available for Project Application Form?
No specific formats or templates are required for the project proposal or final results report. Teams may prepare their documents independently.
Q4. If applicants are simultaneously applying for other computing subsidy programs, are they still eligible to apply for this program?
Yes; however, applicants are advised to disclose this information truthfully on the application form.
Q5. What resources will be provided to the selected teams?
This program provides GPU computing hours, storage space, and an instructional orientation on the use of the GMI/Zettabyte platform. Applicants are responsible for preparing their own models and data and must possess the technical skills necessary for data analysis, model training, MLOps deployment, multi-GPU operations, cloud environment deployment, code debugging, and other related capabilities.
Q6. Will the program provide models, or are teams required to develop their own?
The program does not provide models; users must upload their own models for training or inference. If using models provided by GMI/Zettabyte, all associated costs shall be borne by the users.
Q7. If an applicant requests eight GPUs, can the computing service be provided in Bare Metal mode?
This program currently provides computing services in Container mode only. The program will explore feasible solutions for providing Bare Metal mode in the future.
Q8. For applicants who are familiar only with Colab or on-premises systems and not with Docker or SSH, will training be offered to run my code on the program’s computing platform?
Teams requiring technical guidance on cloud environment deployment and operations are encouraged to consult directly with IT service providers for project support.
Q9. Is it possible to select a specific environment for the computing platform?
The platform environment will be assigned by the organizer based on project requirements and resource availability.
Q10. If the allocated GPU hours are insufficient, is it possible to request additional GPU hours?
If allocated GPU hours are exhausted before the end of the usage period, teams may submit a one-time request for additional hours at least six weeks before the period ends. Any approved additional hours must be used within the original usage period; unused hours will be forfeited, and no extensions will be granted.
Q11. Can the usage period be extended if allocated GPU hours are not fully used?
If allocated GPU hours are not fully used within the usage period and an extension is required, each project may submit a one-time request for a usage period extension. Requests must be submitted at least six weeks before the end of the usage period. Once approved, the usage period may be extended by up to three months. Any unused GPU hours after the extended period will be forfeited, and no further supplementation will be granted.
Q12. What are the differences between this program and other programs?
- Target Audience: Teams with medium-scale computing needs (1–8 H100 GPUs).
- Duration of Computing Resources: Provides 25 weeks of computing resources.
- Project Outcome: Upon completion of the computing period, the program will host an annual result presentation to showcase project achievements, giving projects visibility across industries, enhancing team exposure and influence, and helping innovative outcomes gain recognition and reach a wider audience.
- Rooted in Taiwan: The program primarily targets startups with local connections in Taiwan and Taiwanese universities, while also aiming to attract foreign startup teams to establish and grow in Taiwan.
