AtoLab, a subsidiary of AtoResearch (CEO Jaewoong Jeong), a company specializing in software-defined networking (SDN) and data center automation, has been selected as the implementing organization for the 'Artificial Intelligence Specialized Foundation Model Development Project' promoted by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA) together with the KAIST Consortium.
This project aims to develop "K-Fold," a bio-foundation model that leverages AI technology to precisely predict the molecular structures of key biological phenomena, including proteins, nucleic acids, and ligands. To implement the project, the KAIST consortium will receive support from a high-performance AI infrastructure comprising 256 GPUs.
AtoLab will be responsible for designing, building, and operating the AI infrastructure for the project, and will provide optimization and efficiency technologies for large-scale GPU cluster environments. This will create a highly reliable and high-performance AI research environment.
Unlike the existing protein structure prediction model, AlphaFold3, the K-Fold model plans to have improved accuracy through learning physical and chemical causal structures, multi-state prediction, quantitative prediction of binding affinity, and ultra-high-speed inference capabilities of less than 1 minute per complex.
In addition, AtoLab plans to implement the lightweight pharmaceutical and bio-specific model developed by the KAIST consortium as a private AI solution and supply it on-premise to pharmaceutical research institutes and hospital research institutions that prioritize data security.
“We expect that AI infrastructure technology will accelerate innovation in bio research through this project,” said Jaewoong Jeong, CEO of Atori Research. “Based on software-defined infrastructure technology, we will contribute to strengthening the nation’s AI research capabilities and enhancing the competitiveness of the data center industry.”
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