Distributed AI Cloud Startup ‘AIEEV’ Breaks Down High-Cost Infrastructure Barriers
- Aieev
- Oct 25
- 1 min read
Distributed GPU AI cloud startup AIEEV announced on the 24th that it had showcased its distributed AI cloud technology at “FIX 2025”, which opened on the 22nd at EXCO in Daegu.
This technology dynamically adjusts GPU resources—essential components for developing and operating AI models—in real time. Since computing resources are used only when needed and users pay only for what they use, the system significantly reduces costs compared to traditional AI infrastructures.
In the AI industry, infrastructure costs are often cited as a major entry barrier. Training and running large-scale AI models require high-performance GPUs, and building and maintaining such systems can cost from hundreds of millions to tens of billions of won. As a result, many startups and small research institutions give up AI technology development due to these high costs.
Sejin Park, CEO of AIEEV, said, “For the AI ecosystem to grow, infrastructure must operate efficiently. Our goal is to create a structure that allows anyone to experiment with and scale AI at a reasonable cost.”He added,“By lowering inference costs and improving accessibility within Daegu’s AI, Big Data, and Blockchain industrial ecosystem, we are accelerating the region’s transition to AI-driven industries.”
At the exhibition, AIEEV presented AI inference demonstrations and its GPU auto-scaling technology, while offering free pilot tests and up to 50% discounts on cloud usage fees for enterprises and research institutions. Applications can be made through https://www.aieev.com/contact
Source
Hansbiz | OCT 24, 2025
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