NetApp Removes Storage Bottleneck for AI Factories
Key Highlights
- ➤NetApp Novus (NTAP) announced for AI factories and large GPU environments.
- ➤Novus architecture targets over 100 TB per second aggregate throughput.
- ➤Novus supports zettabyte-scale file systems under a single namespace.
- ➤Novus is orderable today with initial releases using Supermicro infrastructure and AFF A90 systems.
Expert Statements
Syam Nair, Chief Product Officer at NetApp
“AI factories struggle and GPU economics collapse when data can't keep up”
Syam Nair, Chief Product Officer at NetApp
“HPC-era storage alone cannot serve AI Factory scale — the industry needs a true architecture built for it from the ground up.”
Syam Nair, Chief Product Officer at NetApp
“AI factories have long been searching for infrastructure that can scale at AI speed.”
Syam Nair, Chief Product Officer at NetApp
“Leveraging the power of the NetApp Platform, Novus delivers 100 TB/s of unlimited scale-out performance, leapfrogging the market to serve as the new high-performance, AI-scale storage architecture that unlocks the performance of millions of GPUs and delivers the return on investment needed to sustain the next wave of AI innovation.”
Syam Nair, Chief Product Officer at NetApp
“We’ve just delivered the fastest storage on the planet, that is purpose built for the AI Era.”
Mike Leone, Vice President & Principal Analyst at Moor Insights & Strategy
“As AI infrastructure providers scale GPU environments, the economics increasingly depend on keeping compute resources fully utilized.”
Mike Leone, Vice President & Principal Analyst at Moor Insights & Strategy
“Storage architectures that can't deliver data at cloud scale can become a limiting factor for training performance, tenant isolation, and return on infrastructure investment.”
Mike Leone, Vice President & Principal Analyst at Moor Insights & Strategy
“NetApp Novus directly addresses that limit by combining disaggregated metadata management with high-performance data services, giving neocloud and GPU-as-a-service providers a more scalable foundation for AI factory operations.”
Tony Palmer, Chief Analyst with Omdia
“Omdia audited NetApp Novus demonstrate near-linear performance scaling as ONTAP clusters were added to a single global namespace.”
Tony Palmer, Chief Analyst with Omdia
“Based on the rigorous testing we observed, our modeling projects that NetApp Novus disaggregated metadata and data architecture can scale up and out to 100TBps sequential read throughput with dozens of exabytes of effective capacity, and beyond.”
Tony Palmer, Chief Analyst with Omdia
“We are confident in our projections that the solution can scale to the needs of zettascale deployments to fuel the most demanding and data hungry AI workloads.”
Jeremy Foster, Senior Vice President and General Manager, Cisco Compute
“Our longstanding collaboration with NetApp is about bringing compute, networking and data together to make complex infrastructure simpler for customers.”
Jeremy Foster, Senior Vice President and General Manager, Cisco Compute
“As AI pushes infrastructure to new levels of scale and speed, the real differentiation isn’t the GPU — it’s the data and how customers use it.”
Jeremy Foster, Senior Vice President and General Manager, Cisco Compute
“NetApp Novus, together with the rest of the stack, helps customers put that data to work and drive the outcomes that matter to their business.”
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® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced NetApp Novus™, the fastest storage on the planet designed for AI infrastructure providers operating large GPU environments. Built to support a zettabyte-scale file system, this next-generation architecture will allow AI factories to keep millions of GPUs continuously fed with data, maximizing the efficiency, utilization, and profitability of their investments.
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