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NetApp Announces PEAK:AIO Acquisition Plan to Advance Scalable AI Infrastructure Architecture

NetApp PEAK:AIO acquisition

The NetApp PEAK:AIO acquisition is now officially in motion. NetApp, the intelligent data infrastructure company, announced its intent to acquire PEAK:AIO. PEAK:AIO pioneers next-generation metadata architecture and high-performance parallel file systems. The planned deal should accelerate NetApp’s AI infrastructure roadmap. Moreover, it adds metadata services and parallel namespace innovation. These capabilities help AI clouds scale shared storage alongside growing GPU clusters.

AI now sits inside every enterprise workload. As a result, organizations face a new challenge. Traditional storage architectures never anticipated the scale, concurrency, and performance demands of AI factories, AI clouds, and next-generation data-intensive applications. NetApp is building an architecture that separates metadata from data. Consequently, metadata services can scale independently. This design lays a foundation for AI infrastructure that supports trillions of files, exabyte-scale environments, and massively parallel workloads.

The acquisition reinforces NetApp’s strategy for the rapidly growing AI infrastructure market. NetApp will combine PEAK:AIO’s specialized metadata innovations with NetApp ONTAP® software. Therefore, customers gain a differentiated architecture. It preserves the resilience, security, and operational maturity of ONTAP. At the same time, it introduces a new level of scalability for AI workloads.

“AI clouds need high-performance shared storage that can scale alongside growing GPU clusters while maintaining the resilience, security, and operational simplicity organizations depend on,” said George Kurian, Chief Executive Officer at NetApp. “With PEAK:AIO, we are delivering on our vision for a new generation of AI infrastructure that combines scalable metadata services with the proven foundation of ONTAP to help customers maximize infrastructure efficiency and support AI at hyperscale cloud.”

Research Roots Shape PEAK:AIO’s Technology

PEAK:AIO’s technology grew out of collaborations with leading research institutions. These include Los Alamos National Laboratory and Carnegie Mellon University. Engineers designed it to tackle some of the industry’s most demanding data-intensive computing challenges. Furthermore, the planned integration adds specialized metadata services and parallel namespace innovation to NetApp’s ONTAP-based data architecture. It also creates a clear evolution path for existing ONTAP customers.

“NetApp and PEAK:AIO connected through the shared belief that the AI era demands a fundamentally new approach to data infrastructure,” said Mark Klarzynski, Chief Technology Officer and Founder at PEAK:AIO. “What excites us most about joining NetApp is the opportunity to pair our culture of innovation with the reach, scale, and customer trust of a global leader. Together with NetApp, we have an opportunity to help shape that future and deliver technologies that make managing data at a massive scale both practical and accessible.”

PEAK:AIO’s metadata innovation extends metadata scale, delivers a global namespace, and enables parallel NFS-based access for massively parallel workloads. Meanwhile, NetApp contributes trusted ONTAP expertise, global reach, and operational maturity. Together, the two companies aim to make AI-scale file infrastructure more practical and accessible. They also expect to deliver new capabilities that simplify the deployment and operation of shared storage for increasingly large AI environments.

The PEAK:AIO Acquisition and architecture targets trillions of files and multi-exabyte deployments. Importantly, it preserves the resiliency, security, and operational simplicity customers expect from ONTAP. Designers built it around the needs of large-scale AI environments. It combines scalable metadata services, standards-based parallel NFS access, and ONTAP as the resilient data foundation. In turn, this approach should help reduce data-related GPU stalls, improve infrastructure efficiency, and accelerate AI innovation.

Finally, the transaction remains subject to customary closing conditions and regulatory approvals.

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News Source: Businesswire.com