NetApp launches AI data platform to unlock legacy enterprise archives
NetApp has unveiled a platform designed to make decades of enterprise data AI-ready without requiring infrastructure overhauls. The company’s latest effort appears aimed at helping enterprises leverage existing archives while avoiding disruptive rebuilds.
The platform builds on NetApp’s Novus architecture, introduced last month to address metadata bottlenecks in AI data pipelines. According to earlier coverage, the company has been working for three years to position itself in enterprise AI data infrastructure, with some suggesting its efforts are gaining traction. SiliconANGLE reports the platform’s pitch centers on avoiding a "costly rebuild" of underlying storage systems.
This launch follows recent funding rounds for startups tackling related AI infrastructure challenges. Delos Data, founded by former Intel engineers, raised $100 million for data center chips, while Emerald AI secured $150 million for power solutions. Unlike these hardware-focused approaches, NetApp’s offering may prioritize software and integration layers.
Enterprise adoption will likely depend on how well the platform handles sensitive legacy datasets without disruption. Future developments could involve further refinements or industry collaborations.
Sources: siliconangle.com
“NetApp’s move signals a growing market for tools that bridge legacy data and AI workloads without costly rebuilds.”
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- NetApp aims to make legacy data AI-ready without a rebuild — siliconangle.com
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