NetApp has acquired DataPelago to enhance its capabilities in making data AI-ready at the infrastructure layer. This move aligns with NetApp’s goal of building enterprise-grade data platforms to support AI factories, addressing challenges in scaling AI workloads. DataPelago’s focus on unifying data pipelines aims to overcome bottlenecks in generative AI and analytics processing, further facilitating this integration.

NetApp: NetApp is an intelligent data infrastructure company that provides unified data storage, integrated data services, and cloud operations solutions to enterprise customers worldwide. It focuses on helping organizations modernize their data infrastructure, transform cloud strategies, and drive AI innovation through its data platform. In this development, NetApp is acquiring DataPelago to integrate advanced data processing capabilities that make data AI-ready directly at the infrastructure layer.
DataPelago: DataPelago develops Nucleus, a universal data processing engine built for accelerated computing to handle any data type, hardware, and query engine for analytics and AI workloads. The company aims to eliminate data processing bottlenecks that limit AI scalability by transforming processing economics. The acquisition integrates DataPelago’s technology into NetApp’s offerings to enhance AI data readiness at the infrastructure level.

AI Data Foundations: NetApp emphasizes building enterprise-grade data platforms to support AI factories and address challenges in scaling AI workloads.
Data Processing Innovation: Companies like DataPelago are focused on unifying data pipelines to overcome bottlenecks in GenAI and analytics processing.