Bank of America Raised NetApp Price Target to $220

The firm increased its target citing AI-driven growth as NetApp launched new storage architectures for GPU clusters.

Updated on Sept. 30, 2026 in Artificial Intelligence

Bank of America Raised NetApp Price Target to $220

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Bank of America raised the price target for NetApp shares from $200 to $220. The adjustment follows NetApp's announcement of new AI data management tools and partnerships during its INSIGHT 2026 event.

Why it matters

The upgrade reflects the growing enterprise demand for AI-specific infrastructure. NetApp is positioning its data platforms to address the bottleneck of feeding massive GPU clusters with information.

NetApp introduced the Novus architecture, which utilizes a zettabyte-scale file system to supply GPU clusters with data. The company is pairing these systems with Supermicro hardware to improve overall GPU utilization.

The players

NetApp

A provider of data management and storage infrastructure software and hardware.

Bank of America

A global financial institution providing equity research and investment analysis.

Supermicro

A company specializing in high-performance server and storage systems for enterprise data centers.

Oracle

A provider of cloud infrastructure and database software solutions.

The details

The new infrastructure aims to solve the problem of data starvation in large-scale AI training environments. By integrating storage directly with compute systems from partners like Supermicro, NetApp aims to increase the efficiency of data movement to chips. Additionally, the company is rolling out an AI Data Engine designed to automate the discovery and governance of enterprise data.

NetApp held its INSIGHT 2026 event during 2026.
NTAP stock gained over 96% year-to-date in 2026.
General availability for the Oracle Cloud Infrastructure NetApp Storage Service is expected within the next 12 months.

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The Tech Race

NetApp is competing to remain the primary data backbone for enterprise AI against traditional rivals and newer, software-defined storage startups. The new partnership with Oracle signals a move to integrate these specialized data tools directly into the cloud service providers' GPU environments.

Enterprise users will gain access to the new storage capabilities via the Oracle Cloud platform when the service reaches general availability. Developers and data center architects should look for integration benchmarks to see if this architecture provides the promised improvements in GPU utilization.

The takeaway

The firm's focus on bridging the gap between massive data sets and GPU compute clusters marks a shift in storage priorities. Investors and architects should track the performance data from the upcoming Oracle Cloud service to see if these integration efforts yield measurable efficiency gains.