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Seoul, South Korea — SyntecBiofuel Inc., a leader in AI-driven biofuel innovation, today announced the completion of a major expansion to its AI Data Center, increasing its capacity by 60% to support advanced machine-learning applications in microbial engineering and process optimization.
Unprecedented Computing Power
Located at SyntecBiofuel’s Seoul R&D campus, the upgraded AI Data Center now houses over 1,200 NVIDIA A100 GPUs and 5 petabytes of high-speed storage. This enhancement enables the company to run complex simulations—such as in silico strain evolution and predictive fermentation modeling—up to four times faster than before, slashing development cycles from months to weeks.
“By supercharging our AI infrastructure, we’re removing traditional bottlenecks in biofuel development,” said Dr. Elena Voss, Chief Technology Officer at SyntecBiofuel. “Our teams can now iterate strain designs and process parameters at unprecedented speed, driving down costs and accelerating time-to-market for sustainable fuels.”
Key Features of the Expansion
- Scalable GPU Array: Addition of 500 NVIDIA A100 units, bringing total GPU count to 1,200 for parallelized deep-learning workloads.
- High-Throughput Storage: Upgrade to NVMe-based storage delivering sustained 100 GB/s read/write throughput for large-scale data sets.
- Edge-AI Nodes: Distributed inference units deployed adjacent to bioreactors for real-time process control and anomaly detection.
- Green Cooling Systems: Implementation of liquid-immersion cooling reduces data-center energy consumption by 35%, aligning with SyntecBiofuel’s commitment to sustainability.
Strategic Collaborations
To maximize the impact of its AI capabilities, SyntecBiofuel has entered a multi-year research partnership with Seoul National University’s AI Institute and the Korea Advanced Institute of Science and Technology (KAIST). These collaborations will focus on developing next-generation algorithms for adaptive bioprocess control and in vitro to in vivo translation of microbial pathways.
“This expanded AI backbone empowers our students and researchers to tackle grand challenges in synthetic biology,” said Professor Ji-Hoon Kim of KAIST’s Department of Bio and Brain Engineering. “Together, we’ll pioneer data-driven solutions that redefine the future of sustainable energy.”
Driving Global Decarbonization
With its enhanced AI Data Center fully operational, SyntecBiofuel is positioned to fast-track projects targeting drop-in bio-jet fuel, renewable diesel, and marine biofuels. The company aims to deliver its first commercial AI-optimized bio-jet batch to key airline partners by Q3 2026 and scale to multi-million–liter annual capacity by 2028.
zAbout SyntecBiofuel Inc
Founded in 2018 and headquartered in Seoul, SyntecBiofuel Inc. leverages advanced synthetic-biology platforms and AI analytics to convert non-food biomass and industrial waste into sustainable, drop-in biofuels. With R&D facilities in Asia, North America, and Europe, the company is committed to driving the global transition to low-carbon energy.