VESSL AI, Inc.

Based in Seoul, South Korea, VESSL AI specializes in providing advanced Liquid AI infrastructure and Persistent GPU Cloud services to facilitate seamless AI workload management for diverse clients. Founded in 2020, VESSL AI operates from its headquarters in Seoul, South Korea, focusing on AI infrastructure solutions. The company has successfully secured funding, with its latest investment round occurring in October 2024, raising KRW 15. 8 billion in SERIES A funding from notable investors, including A Ventures and Mirae Asset Venture Investment, among others.

The founding team consists of Dami Yi, Jaeman An, and Jihwan Chun, with Jaeman An currently serving as CEO. VESSL AI has completed a total of three deals to date. VESSL AI specializes in providing a comprehensive Liquid AI infrastructure and a Persistent GPU Cloud service featuring a variety of powerful GPU options, including A100, H100, H200, B200, GB200, B300, and more. Their platform enables users to deploy and scale AI workloads with ease, offering access to GPU capacity across multiple cloud providers.

The services cater to a wide range of clients, including enterprises, academic institutions, startups, and government agencies, facilitating research, experimentation, and production workloads across markets in North America, Europe, and Asia. VESSL AI generates revenue through a pay-as-you-go pricing model, allowing clients to utilize GPU resources flexibly without long-term commitments. Their pricing structure includes three tiers: spot capacity for research, on-demand capacity for production workloads, and reserved capacity for mission-critical applications. This subscription framework enables clients to customize their GPU usage according to their operational needs.

In October 2024, VESSL AI raised KRW 15. 8 billion in SERIES A funding to enhance its product development and improve its infrastructure and business operations. The company is focused on launching new products aimed at expanding its capabilities while also exploring growth opportunities in additional geographic markets. Plans include targeting new regions and sectors where demand for AI infrastructure is increasing, with specific timelines to be defined as the company progresses through its initiatives.