NetApp and Oracle Forge Fully Managed Cloud Storage Service for Demanding AI and Enterprise Workloads

NetApp and Oracle have announced a new fully managed cloud storage service designed to address the escalating storage requirements of AI-oriented workloads and other demanding IT infrastructures. This collaboration, highlighted at NetApp Insight 2026, seeks to combine NetApp's established data management capabilities with Oracle's cloud platform to deliver a high-performance, operationally simplified storage solution. This development is particularly significant for organizations deeply invested in artificial intelligence, machine learning, and other data-intensive enterprise applications. These workloads often push traditional storage systems to their limits, creating bottlenecks that hinder performance and increase operational complexity. By offering a fully managed service, NetApp and Oracle aim to alleviate the burden of infrastructure management, allowing practitioners to dedicate more resources to development and innovation. The partnership is a direct response to the growing need for robust, scalable, and easily consumable storage that can keep pace with the rapid advancements in AI and enterprise computing. The move aligns with a broader industry trend where cloud providers and storage vendors are increasingly collaborating to offer specialized, high-performance solutions tailored for emerging technologies like AI. For instance, AWS has been enhancing its S3 offerings with features like S3 Express One Zone for faster access and S3 Files for file system compatibility, directly targeting AI/ML platforms and data lakes. Similarly, Microsoft Azure has been focusing on integrating AI-assisted operations with its Ultra Disk Storage and Storage Autogrow features. The market is clearly shifting towards more intelligent, distributed, and specialized cloud storage models, with a strong emphasis on supporting AI workloads. In practice, this new service means that enterprises can expect a more seamless experience in deploying and managing storage for their most critical applications. Practitioners should evaluate this offering based on its ability to deliver consistent high performance, simplify data governance, and reduce total cost of ownership for their AI and demanding enterprise workloads. It also implies a continued trend towards abstraction of underlying infrastructure complexities, allowing developers and data scientists to focus on their core tasks. Organizations should closely monitor the performance benchmarks and integration capabilities of this new service, especially in comparison to existing cloud-native storage options and other hybrid cloud solutions.