The deal centers on DataPelago’s core software, Nucleus, which distributes computing power across CPUs and GPUs. By processing data locally rather than forcing it through external compute clusters, the technology significantly reduces infrastructure overhead and accelerates AI workflows. This approach addresses a critical friction point for companies struggling to scale their internal AI operations.
In section Market Quotes
NetApp Buys DataPelago to Solve AI Data Bottlenecks
By integrating DataPelago into its infrastructure portfolio, NetApp aims to solve the persistent data processing bottlenecks slowing enterprise AI deployment. The acquisition, announced Thursday, brings the startup's Nucleus technology under the NetApp umbrella, allowing the storage giant to shift how businesses handle massive datasets for analytics and machine learning.

DataPelago will function as a wholly owned subsidiary of NetApp moving forward. While the financial terms of the transaction remain private, the move signals a strategic push by NetApp to evolve beyond traditional storage and position itself as a central player in the AI data pipeline.
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