AI integrated platform company VESSL AI announced on the 21st that it participated in the 'GTC (GPU Technology Conference) 2025', an AI conference held in San Jose, California, USA.
Hosted by NVIDIA, this event was attended by over 300 global companies including Amazon, Google, and Microsoft, showcasing the latest AI technologies and products, and was attended by over 100,000 people.
At this GTC, Vessel AI presented a case study on the integration of NVIDIA’s NIM (NVIDIA Microservice Infrastructure) and NeMo technologies. Through this integration, AI developers can easily deploy various LLM (Large Language Model) models including Llama 3.1 and efficiently utilize the data management function of NeMo Curator. Vessel AI is expected to provide a solution that solves the infrastructure management and resource optimization problems that companies face during AI model learning and operation based on MLOps and LLMOps technologies.
Vessel AI also introduced various industrial cases that reduced GPU computing costs by up to 80% and shortened AI model deployment time from weeks to minutes. In particular, it presented cases that improved the efficiency of AI models in the finance, manufacturing, and mobility sectors, and also announced results that improved service processing speed by 20% and improved response quality by applying RAG technology and orchestration agents for corporate AI consulting systems.
In addition to the technology presentation, Vessel AI expanded its global presence through several strategic networking activities during GTC. In particular, Oh Ye-seul, who leads US business development, participated in a panel discussion titled “Next Generation Innovation: Startups Leading Future Technologies.” In this session, global startup founders discussed market entry strategies, building local partnerships, and cultural and operational challenges, and Vessel AI’s experience in the Silicon Valley AI ecosystem received much attention.
Also, on the second day of the event, Vessel AI co-hosted a networking reception with AI infrastructure companies such as Cirrascale and Recogni. At this event, Cirrascale’s high-performance cloud computing services, Recogni’s low-power and high-performance AI inference chips, and Vessel AI’s MLOps platform were combined to explore technological innovations and collaboration opportunities covering the entire AI infrastructure.
Based on its participation in this GTC, Vessel AI plans to visualize the implementation of AI orchestration. Based on its expertise in connecting AI infrastructure and applications, it plans to provide a platform that integrates the entire process from AI model development to deployment and operation. Through this, it plans to integrate AI resources in on-premise and cloud environments, support collaboration of various AI models, and develop it into an enterprise-level business solution.
CEO Ahn Jae-man said, “Participating in this GTC has become an important opportunity to publicize Vessel AI’s technological prowess in the global AI market,” and “Through collaboration with NVIDIA, we will provide an orchestration solution that systematically integrates and manages various AI models, accelerate the construction of customized AI systems for each industry, and advance the digital innovation of companies.”
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