While the adoption of AI by enterprises is accelerating, in practice, issues regarding data organization, search, and control often become obstacles before model development. To mitigate these problems, NetApp unveiled the 'NetApp AI Data Engine (AIDE),' an AI data platform co-designed with NVIDIA, focusing on connecting distributed enterprise data into a format suitable for AI utilization.

NetApp announced on the 24th that it plans to launch AIDE to key customers and partners this month and begin full-scale commercialization around August of this year. This announcement aligns with the latest technological trends unveiled at NVIDIA GTC, and AIDE was presented in combination with the NVIDIA AI Data Platform reference design.

The core of AIDE is a global metadata catalog that is automatically generated and updated. This platform is designed to go beyond standard file system metadata by analyzing file contents to append semantic information and processing them without moving the original data elsewhere. It enables the rapid discovery and connection of necessary data throughout the entire AI pipeline while reducing the costs and security burdens associated with data replication.

The scope of application is expected to expand across the entire enterprise environment that combines on-premises and cloud resources. NetApp plans to provide AIDE as integrated software capable of running across various server environments and extend support to its storage product lines, including the AFF A-Series, AFF C-Series, and FAS. Furthermore, the company intends to enable its use in environments based on the RTX PRO 4500 and 6000 Blackwell Server Edition GPUs announced by NVIDIA.

Industries prioritized for application include fields handling large-scale unstructured data, such as manufacturing, finance, cloud services, and enterprise document search. NetApp also announced expanded integration with Microsoft Azure-based AI applications, Google Cloud Vertex AI, and LangChain-based development frameworks. Cisco explained that when combined with its FlexPod AI, it can be utilized to build an AI infrastructure that integrates computing, storage, networking, and security functions.

This announcement demonstrates that enterprise AI competitiveness depends more on how quickly data is found, securely connected, and continuously kept up to date than on model performance itself. NetApp plans to add support for hybrid cloud, multimodal data, and agentic AI, as well as support NVIDIA's STX storage reference architecture. This highlights that the focus of the competition in AI infrastructure is expanding from computational performance to data operational structures.