NetApp Unveils Novus Architecture for Zettabyte-Scale AI Infrastructure and Private AI Deployment
15 Sources
[1]
Open-weight models power private AI on NetApp and Iterate.ai
Enterprise storage becomes AI memory as privately run models close in on the frontier As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own. That shift puts the data already sitting in
[2]
FlexPod brings validated AI infrastructure to enterprises
Decades of DIY best-of-breed give way to pretested stacks as AI raises integration risk As enterprises push AI out of pilots and into production, FlexPod, the converged infrastructure franchise built by NetApp Inc. and Cisco Systems Inc., is being recast as a pretested answer to AI's complexity.
[3]
Data infrastructure draws new buyers to NetApp's AI pitch
Artificial intelligence has pulled data infrastructure out of the back office and into conversations with buyers who never had to think about storage before. For longtime storage providers, that shift is a rare chance to retell their story to an audience with no preconceptions. NetApp Inc. has
[4]
NetApp Targets Massive GPU Utilization, Zettabyte-Scale AI Workloads With Novus Architecture
'Today we are in the accelerated computing era, [which] brings new demands and new opportunities for infrastructure and system design and new technologies that are available today. We are introducing a new architecture, one that is disaggregated intelligently, so that every single element can be
[5]
NetApp Unveils Zero-Copy Data Activation Capabilities for Agentic AI
NetApp announced new capabilities that enable enterprises to accelerate their adoption of agentic AI with secure, in-place, zero-copy data activation. The heterogeneous metadata capability of NetApp AI Data Engine (AIDE) helps organizations discover, understand, govern, and operationalize data
[6]
Storage architecture shifts for AI factories
Storage architecture is being rewritten for artificial intelligence factories. Traditional enterprise storage was designed around workloads that scaled in relatively predictable ways. AI changes that equation by combining heavy data movement with transactional metadata activity, often on shared
[7]
NetApp CEO George Kurian: 'We Are Light Years Ahead Of Everybody Else' In Cloud, AI
'Everyone else is doing what we did 10 years ago. We are the only natively-integrated cloud platform. We are bringing other cloud providers like Oracle Cloud and SAP Cloud into our ecosystem, so that now you can get native offerings in the Oracle Cloud, just like you can do in the other
[8]
NetApp Delivers Secure, Zero-Copy Data Activation for the Agentic Enterprise
NetApp today announced new capabilities that enable enterprises to accelerate their adoption of agentic AI with secure, in-place, zero-copy data activation. The heterogeneous metadata capability of NetApp AI Data Engine (AIDE) helps organizations discover, understand, govern, and operationalize
[9]
NetApp ties intelligent data infrastructure to production AI
CEO George Kurian outlines NetApp's data strategy for production AI Intelligent data infrastructure is becoming critical as enterprises move artificial intelligence from curated pilots into production. NetApp Inc. is positioning its Novus architecture for that transition. Ninety-three percent of
[10]
NetApp Empowers Enterprises to Build Anything, Anywhere
New hybrid multi-cloud capabilities remove borders between on-premises and cloud operations NetApp today announced new hybrid multi-cloud capabilities with autonomous controls to maximize enterprise flexibility and efficiency for any workload. Enterprises can now more easily adopt modern data
[11]
NetApp launches Novus storage architecture for AI workloads By Investing.com
SAN JOSE, Calif. - NetApp (NASDAQ:NTAP) announced Tuesday the launch of NetApp Novus, a storage architecture designed for AI infrastructure providers operating large GPU environments. The new architecture separates metadata from the data path to allow performance, capacity, and concurrency to
[12]
NetApp Removes Storage Bottleneck for AI Factories
New architecture delivers fastest storage on the planet, designed to maximize GPU utilization and architected for up to 100 TB per second aggregate throughput NetApp today announced NetApp Novus, the fastest storage on the planet designed for AI infrastructure providers operating large GPU
[13]
NetApp unveils AI data engine updates, expands Commvault tie By Investing.com
SAN JOSE, Calif. - NetApp (NASDAQ:NTAP) announced Tuesday new capabilities for its AI Data Engine and an expanded integration with Commvault aimed at helping enterprises deploy agentic AI systems. The updates include heterogeneous metadata discovery across NetApp ONTAP, StorageGRID, and non-NetApp
[14]
NetApp partners with Supermicro for AI infrastructure solutions By Investing.com
SAN JOSE, Calif. - NetApp (NASDAQ:NTAP) announced Tuesday a collaboration with Supermicro to deliver jointly validated AI infrastructure solutions for AI factories, enterprise deployments, and sovereign AI initiatives. The partnership combines Supermicro's AI-optimized compute and rack-scale
[15]
NetApp unveils hybrid cloud tools with autonomous controls By Investing.com
SAN JOSE, Calif. - NetApp (NASDAQ:NTAP) announced Tuesday new hybrid multi-cloud capabilities designed to provide enterprises with autonomous controls across on-premises and cloud environments. The company introduced several new tools, according to a press release statement. NetApp Keystone
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NetApp introduced Novus, a storage architecture designed for AI factories handling 100,000-plus GPU clusters with 100-TB-per-second performance. The company also announced zero-copy data activation capabilities and expanded partnerships with Iterate.ai and Cisco to help enterprises deploy private AI workloads while keeping data under their control.
NetApp Targets Massive GPU Utilization with Novus Architecture
NetApp has introduced NetApp Novus, a storage architecture engineered to support AI infrastructure providers operating environments where AI factories can maximize efficiency and utilization of millions of GPUs
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. The new architecture delivers 100-TB-per-second performance and can access over 1 zettabyte of data within a single namespace, addressing the critical bottleneck where GPU utilization often falls to as low as 5 percent due to infrastructure limitations4
. CEO George Kurian described Novus as "the most important new product introduction NetApp has made in a long time," positioning it as an intelligently disaggregated system where every element can be optimized for performance and scaled independently4
.The architecture federates namespaces across multiple data clusters by disaggregating metadata from data, operating on standards-based protocols like pNFS while maintaining data storage in NetApp OnTap
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. This approach addresses the escalating demands of AI workloads as operators move from 10,000 GPUs to clusters of 50,000 to 100,000 GPUs, requiring constant line rates of 2 GBs per second per GPU4
. The timing matters because a single GPU on high-bandwidth memory can process up to 8 TBs per second of data, but traditional storage infrastructure cannot keep pace with these demands4
.Private AI Deployment Through NetApp and Iterate.ai Partnership
NetApp has partnered with Iterate.ai to package private AI for enterprises through the AIPod Mini, a turnkey appliance pairing NetApp infrastructure with Iterate.ai's Generate platform
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. The system keeps models, hardware, and data under customer control rather than sending information to third-party services, addressing growing concerns about data sovereignty and governance1
. As open-weight models close in on the performance of proprietary frontier systems, enterprises gain credible ways to run generative AI on hardware they own, putting data already sitting in corporate storage at the center of private AI conversations1
.The AIPod Mini ships with over 200 agent templates, more than 200 skills, and access to over 800 tools out of the box
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. Real-world deployments demonstrate measurable impact: one insurance deployment reduced accident-report analysis from eight hours to eight minutes, while a healthcare implementation identified $17.4 million in denied claims for a hospital with $150 million in annual billing1
. The healthcare workflow chains three agents that read payer contracts, examine incoming denials, and draft resubmissions, with hospitals typically collecting 80 percent to 85 percent of what they bill insurers1
.FlexPod Converged Infrastructure Expands for AI Workloads
NetApp and Cisco are repositioning FlexPod, their converged infrastructure franchise, as a pretested answer to AI's complexity as enterprises push AI workloads from pilots into production
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. Over 16 years, the joint franchise has served 10,000 enterprise customers and generated $21 billion in ecosystem value2
. The partners expanded FlexPod for AI deployments in June, offering validated designs that give customers best-in-class products without the integration burden2
.AI workloads behave differently from traditional applications that shaped data center design for decades, drawing on storage, networking, compute, and security simultaneously in ways that can delay deployments
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. The validated infrastructure approach addresses this by providing alignment at product level, service, support, and ecosystem integration, allowing customers flexibility with certainty that systems will work at scale2
. More joint work on FlexPod AI is coming, with new companies expected to join the partnership2
.Related Stories
Zero-Copy Data Activation for Agentic AI
NetApp announced zero-copy data activation capabilities enabling enterprises to accelerate agentic AI adoption with secure, in-place data activation
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. The heterogeneous metadata capability of NetApp AI Data Engine (AIDE) helps organizations discover, understand, govern, and operationalize data where it lives, while expanded integration with Commvault connects the NetApp Platform with recovery orchestration workflows to detect attacks earlier and recover cleaner data faster5
.Most enterprise data estates were built for human-paced workflows, fragmented across file, object, cloud, on-premises, and sovereign environments with inconsistent governance controls
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. Traditional approaches that copy, move, and transform data before use create latency, cost, compliance risk, and potentially stale answers by the time they reach models or agents5
. NetApp's approach activates data in place with required governance, resiliency, and openness, helping customers deliver near-term storage and governance outcomes while building toward AI-ready data capabilities including semantic search, knowledge graphs, and decision context5
.Data Infrastructure Attracts New Enterprise Buyers
AI has pulled data infrastructure into conversations with buyers who never had to think about storage before, creating opportunities for NetApp to retell its story to audiences with no preconceptions
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. The company has spent three years reframing its storage legacy around Intelligent Data Infrastructure, which now serves as an internal organizing principle beyond just product or brand campaign3
. Website traffic from net-new names increased approximately 50 percent year over year after keynote announcements, with many visitors holding data-focused titles like chief data officer rather than traditional storage roles3
.AI accelerates multiple data trends simultaneously, from jurisdictional data sovereignty to cyber resilience and hyperscaler control over compliance and workloads
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. Rather than locking customers into one stack, the NetApp Platform reaches data wherever it already lives, positioning the company's storage heritage as proof of experience rather than baggage3
. Organizations are asking who can best help them activate their data, with NetApp emphasizing it already operates across environments without requiring customers to enter walled gardens3
.References
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