AI infrastructure specialist Vessel AI (CEO Jae-man Ahn) announced that it will participate in the AI conference 'GTC 2026' held in San Jose, USA from March 13th to 16th and showcase next-generation AI infrastructure technology.
With this participation, Vessl AI will be making its first global exhibition appearance since shifting its focus to its GPU cloud service, "VESSL Cloud." During the event, the company will operate a dedicated booth, introducing its platform technology for efficiently utilizing GPU resources and its physical AI learning environment to AI developers and corporate executives from around the world.
Vessel AI possesses software technology that integrates and manages high-performance GPU computing resources distributed globally on a single platform. This allows businesses and researchers to flexibly utilize large-scale computing resources without the burden of separate server setup or infrastructure management.
The event will feature a "Vessel Cloud Onboarding Tour" demonstrating the process of quickly setting up an AI development environment. The "Smart Pausing" feature, which automatically pauses unused GPUs to reduce costs, will also be showcased, as will a feature that allows developers to utilize cloud GPUs while maintaining their existing code editing environment. Furthermore, a dashboard will be provided to monitor GPU usage by team and user, enabling identification of idle resources and cost management.
Additionally, a large-scale operational structure for physical AI development is introduced. Physical AI requires learning from massive amounts of data through repeated simulations resembling real-world environments, making stable and efficient computational resource management a key challenge. Vessel AI provides a robot simulation and model learning environment that utilizes multiple GPUs simultaneously, implementing a large-scale learning environment based on a "fluid computing" strategy that flexibly distributes computational resources.
Vessel AI plans to use GTC 2026 as an opportunity to focus on the physical AI field as a key growth axis, and to actively pursue the discovery of global partners, expansion of its investment network in the North American market, and acquisition of new customers.
“Competition in AI infrastructure goes beyond securing the number of GPUs; it’s all about how efficiently distributed resources can be utilized,” said Jae-man Ahn, CEO of Vessel AI. “Through GTC 2026, we will strengthen our position in the global market as an execution infrastructure company optimized for physical AI.”
Meanwhile, in the global AI infrastructure market, demand for physical AI and robotics simulations is rapidly increasing, centered on GPU cloud and distributed computing management technologies.
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