As artificial intelligence increasingly integrates into enterprise workflows and products, the demand for Machine Learning Operations (MLOps) platforms is rising. These platforms assist companies in creating, testing, and deploying machine learning models more easily. However, despite the presence of several competitors in the market, such as startups like InfuseAIComet and major companies like Google Cloud, Azure, and AWS, South Korea's VESSL AI aims to carve out its niche by focusing on optimizing GPU costs.
