VESSL AI secures $12M for its MLOps platform that aims to cut GPU costs by up to 80% | TechCrunch

As businesses increasingly integrate artificial intelligence, there's a rising demand for MLOps tools to streamline the creation and deployment of machine learning models.

VESSL AI aims to optimize GPU expenses by leveraging a hybrid infrastructure that combines on-premise and cloud environments, which can make machine learning development more efficient.

With $12 million in Series A funding, VESSL AI focuses on enhancing its infrastructure, targeting companies developing custom large language models and vertical AI agents.

VESSL AI currently serves 50 enterprise customers, including major companies like Hyundai and TMAP Mobility, reflecting its growing influence in the MLOps space.

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