HomeNewsFundingVESSL AI Slashes GPU Costs by 80% with Hybrid MLOps Platform

VESSL AI Slashes GPU Costs by 80% with Hybrid MLOps Platform

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In the competitive world of machine learning operations (MLOps), VESSL AI, a South Korean startup, is gaining attention for its innovative approach to reducing GPU expenses through hybrid infrastructure. As businesses increasingly adopt AI and machine learning technologies, the demand for efficient and cost-effective MLOps platforms continues to grow. VESSL AI sets itself apart by offering a solution that merges on-premise and cloud environments to optimize costs for companies working on large-scale language models (LLMs) and specialized AI applications.

Founded in 2020 by Jaeman Kuss An and his team, VESSL AI was born from their firsthand experience in developing machine learning models and dealing with the complexities and high costs associated with GPU usage. The platform’s hybrid model uses a multi-cloud strategy and spot instances from providers like AWS, Google Cloud, and Lambda to significantly lower GPU expenses, in some cases by as much as 80%. This not only helps companies manage GPU shortages but also simplifies the development, training, and deployment of AI models.

VESSL AI’s platform is built around four key features: VESSL Run, which automates AI model training; VESSL Serve, supporting real-time deployment; VESSL Pipelines, which integrates data preprocessing and model training to improve workflow efficiency; and VESSL Cluster, which optimizes GPU usage across cluster environments. These tools provide businesses with an efficient and scalable solution for managing complex machine learning tasks.

Having secured $12 million in Series A funding, VESSL AI has now raised a total of $16.8 million to further develop its platform. The company already serves 50 enterprise customers, including well-known names such as Hyundai, TMAP Mobility, and LIG Nex1, and has partnered with major cloud providers like Oracle and Google Cloud. With a growing user base and an expanding team in both South Korea and the U.S., VESSL AI is poised to continue making strides in the MLOps space by offering a unique blend of cost efficiency and performance optimization.

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