TechCrunch Disrupt 2026 · AIEEV
AIEEV co-founder Hyeonkyeong (Karen) Kim explains the approach behind Air Cloud: connecting edge GPU devices for AI inference, supporting container-based deployment and autoscaling, and addressing hardware and network security. Recorded at TechCrunch Disrupt 2026.
A distributed GPU cloud raises a practical question for teams running AI inference: how does deployment work, and what happens to their data? In this interview at TechCrunch Disrupt 2026, AIEEV co-founder Hyeonkyeong (Karen) Kim explains the approach behind Air Cloud.
Karen describes a platform that connects edge GPU devices into a shared cloud, with support for containers and autoscaling. She also discusses the company's approach to hardware and network security, followed by its plans to reach customers and investors in the US. The conversation offers a short introduction for engineers and founders evaluating inference infrastructure; the technical and security claims are the company's account, rather than an independent assessment.
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