H2O.ai and VAST Data Unveil Agentic AI Solution for Enterprise Datasets

H2O.ai and VAST Data have introduced a new AI solution designed to process exabyte-scale enterprise datasets by integrating generative and predictive AI capabilities. Announced in a press release, this joint solution combines VAST Data's infrastructure for managing diverse data types with H2O.ai's h2oGPTe platform. The result is a system that delivers retrieval-augmented answers, model fine-tuning, and domain-specific insights across various deployment environments, including on-premise, airgapped, and cloud settings.

The solution leverages H2O.ai's conversational user interface to provide a natural language interface for data retrieval and processing, while VAST Data's platform supports the integration of structured and unstructured data sources. This combination allows enterprises to build AI applications such as digital assistants and AI-driven analytics with minimal overhead.

The collaboration aims to empower enterprises to extract deeper insights and make autonomous decisions by utilizing a unified AI layer that supports both proprietary and open-source large language models. This approach is designed to enhance the efficiency, accuracy, and scalability of AI-driven workflows.