Application Procedure for ABCI Grand Challenge 2022

AI Bridging Cloud Infrastructure (ABCI) is the largest scale computing infrastructure in the world (as of 2018) for artificial intelligence processing, built and operated by the National Institute of Advanced Industrial Science and Technology (AIST), began operations in August 2018.

AIST is implementing the ABCI Grand Challenge program to support the challenge of the most important issues in the field of artificial intelligence that can only be made possible through enormous computing power, as well as important social issues utilizing artificial intelligence and big data.

The ABCI Grand Challenge is a publicly solicited challenge program that allows one research group to occupy the maximum number of compute nodes of the ABCI, 120 nodes (960 GPUs) for the Compute Node (A) or 1,088 nodes (4,352 GPUs) for the Compute Node (V), for a maximum of 24 hours.

Provided Resources

Please refer to “” for information on the computing resources provided by the ABCI Grand Challenge. The Grand Challenge offers three classes of resources: A-Class, V-Large Class and V-Medium Class in this year.

Class A

Class V-Large

Class V-Medium


Overview of the Implementation Schedule

In FY2022, the program will be held three times as follows:

Round #1

Round #2

Round #3

Proposals and Applicant Requirements


Please download the application forms below:

Complete the application form and submit it via e-mail to the address below by the application deadline.

E-mail address for submission:

Applicants will be notified of the review results by e-mail.

Assignment Review

Proposals will be reviewed by the Proposal Review Committee, which will be established by the ABCI Grand Challenge Executive Committee, based on the results of the document review and discussion.

The main criteria are as follows:


Notation when reporting research results

When publishing a paper or other publication on the results obtained through this program, please include the following sample text.

Name of the Program

Sample Acknowledgments