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VESSL AI, a South Korean MLOps platform, has raised $12 million in Series A funding to enhance its infrastructure aimed at reducing GPU costs by up to 80%. The platform focuses on a hybrid infrastructure that combines on-premise and cloud environments, catering to businesses developing custom large language models and vertical AI agents. With 50 enterprise customers, including notable companies like Hyundai and TMAP Mobility, VESSL AI is positioning itself in a competitive MLOps market.
The startup's innovative approach leverages a multi-cloud strategy and spot instances to optimize GPU resource usage, addressing both cost and availability challenges. VESSL AI's platform features tools for automating AI model training, real-time deployment, and workflow integration, making it a comprehensive solution for AI development. The company has also partnered with major players like Oracle and Google Cloud, further solidifying its presence in the AI landscape.
• VESSL AI aims to reduce GPU costs significantly for AI development.
• The platform supports enterprises in creating custom AI models efficiently.
VESSL AI operates within this space, providing solutions to streamline the development and deployment of AI models.
VESSL AI's platform focuses on optimizing GPU usage to reduce costs for its clients.
VESSL AI utilizes this model to enhance the efficiency of its MLOps platform.
The company aims to streamline AI model development and deployment through its innovative platform.
The company is one of VESSL AI's enterprise customers, utilizing its MLOps platform for AI development.
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