NetApp Announces Intent to Acquire PEAK:AIO to Advance Scalable AI Infrastructure Architecture
NetApp, the intelligent data
infrastructure company,announced its intent to acquire PEAK:AIO, a pioneer in
next-generation metadata architecture and high-performance parallel file
systems. The planned acquisition is expected to accelerate NetApp's AI
infrastructure roadmap by augmenting metadata services and parallel namespace
innovation designed to help AI clouds scale shared storage alongside growing
GPU clusters.
As AI becomes embedded in every
enterprise workload, organizations are confronting a new challenge: traditional
storage architectures were not designed for the unprecedented scale,
concurrency, and performance requirements of AI factories, AI clouds, and
next-generation data-intensive applications. NetApp is building an architecture
that disaggregates metadata from data and enables metadata services to scale
independently, creating a foundation for AI infrastructure capable of
supporting trillions of files, exabyte-scale environments, and massively
parallel workloads.
The acquisition reinforces
NetApp's strategy to address the rapidly growing market for AI infrastructure.
By combining PEAK:AIO's specialized metadata innovations with NetApp ONTAP®
software, customers will benefit from a differentiated architecture that
preserves the resilience, security, and operational maturity of ONTAP while
introducing 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."
PEAK:AIO’s technology originated
from collaborations with leading research institutions, including Los Alamos
National Laboratory and Carnegie Mellon University, and was designed to address
some of the industry's most demanding data-intensive computing challenges. The
planned integration will add specialized metadata services and parallel
namespace innovation to NetApp's ONTAP-based data architecture, while creating
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, while
NetApp contributes trusted ONTAP expertise, global reach, and operational
maturity to make AI-scale file infrastructure more practical and accessible.
Together, they are expected to deliver new capabilities that simplify the
deployment and operation of shared storage for increasingly large AI
environments.
The architecture is intended to
support trillions of files and multi-exabyte deployments while preserving the
resiliency, security, and operational simplicity customers expect from ONTAP.
Designed 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 to help reduce data-related GPU stalls, improve
infrastructure efficiency, and accelerate AI innovation.
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