# South Korea's Financial Services Commission opens applications for fintech D-testbed program with new GPU support track

> South Korea's D-testbed program is accepting fintech applicants through February 15, offering computing resources, datasets, and mentoring for AI financial service development. This cycle adds a GPU track for companies building generative AI models.

- Type: AI news
- Page: https://completeaitraining.com/news/south-koreas-financial-services-commission-opens/
- Published: 2026-04-19
- Updated: 2026-04-19
- Author: Jeroen Erne
- Jobs: Finance
- Reading time: 1 min

### South Korea Opens AI-Focused Fintech Testing Program

The Financial Services Commission and Korea Fintech Support Center are recruiting participants for a testing program that provides computing resources and mentoring for fintech companies developing AI-based financial services. Applications open April 20 and close February 15.

The D-testbed program selects about 25 participants per cycle. It operates two tracks: a standard test track and a new GPU support track created this year to address demand for [generative AI and LLM](https://completeaitraining.com/tag/generative-ai-and-llm/) development.

#### What Participants Receive

Accepted companies gain access to a remote analysis environment, combined financial and nonfinancial datasets, and expert mentoring. The program also provides feasibility assessments for proposed services.

The GPU support track offers high-performance computing infrastructure specifically for companies building AI models with their own data. This addition reflects growing interest in applying AI to financial services development.

#### How to Apply

Interested fintech companies and prospective founders can apply online through the D-testbed website. The test track requires participants to work within an isolated remote environment using data and tools provided by the support center.

For finance professionals exploring [AI for Finance](https://completeaitraining.com/tag/finance/), understanding these testing frameworks shows how organizations structure AI development in regulated industries.

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