From 256 GPUs to Two: Korean AI Model Research Stalls After Funding Ends

Korea's government-backed AI research is hampered by short-term GPU funding. Projects like K-Fold, a bio AI model, cannot sustain development after grants end. Researchers need continuous access to dozens or hundreds of GPUs for retraining and upgrades, a requirement not met by current support structures. This reflects a broader challenge for public funding models in fast-evolving AI development.

The inability to retain GPU access puts Korean academic AI research at a disadvantage. While the government secured 13,136 advanced GPUs, their allocation through short-term programs creates bottlenecks. Universities like KAIST and Sungkyunkwan are building their own AI data centers to counter this. KAIST plans to expand its AIDC to three buildings, and Sungkyunkwan will add 24 Nvidia B300s this year, spending up to 4 billion won.

The test for Korea's AI policy is whether it can bridge the gap between initial research and sustained development. Short-term grants create a feast-or-famine cycle for GPU access. A two-track support system, differentiating between industry and academia, could provide the stability needed for long-term model improvement. Without it, Korea risks losing ground in advanced AI research despite significant initial investments.