NetApp intends Novus storage at AI factory traffic jams

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By

• Antony Adshead,
  Datacentre and cloud editor(performing)

Released: 01 Oct 2026 17:05

NetApp utilized its Insight conference in Las Vegas to reveal Novus, a storage architecture it declares can scale to approximately 100TBps of throughput to keep expert system (AI) factory graphics processing systems (GPUs) fed.

NetApp primary executive George Kurian (imaginedargued that information– not calculate– now forms the primary restraint on business AI, and provided Novus along with brand-new European information sovereignty controls, a broadened AI Data Engine and a fresh Oracle collaboration.

NetApp stated neoclouds and GPU-as-a-service suppliers develop AI factories at a scale tradition storage was never ever developed for, which GPU utilisation can fall listed below 30% when storage can not feed sufficient information to the processors.

Novus, he stated, separates metadata from the information course so efficiency, capability and concurrency scale separately under a single NFS namespace, integrating Novus Data Director metadata software application on Supermicro hardware with OnTap information services on AFF A90 systems. NetApp stated the architecture is offered to buy now and offers a course to software-defined implementations.

“Data is ending up being the restriction to proficiently scale AI,” stated Kurian. “93% of organisations report that a minimum of one kind of information difficulty is obstructing their AI aspirations.”

Kurian put the scale of that difficulty in numbers, keeping in mind that big language design scale has actually grown by 5,000 times in 4 years, which about 85% of a normal business’s information beings in disorganized kind– engineering paperwork, research study information, media and years of institutional understanding spread throughout siloed systems. “Petabytes of your disorganized information are dark, with surprise understanding overlooked,” he included.

Syam Nair, NetApp’s primary item officer, framed the launch as an economics issue. “AI factories battle and GPU economics collapse when information can’t maintain,” he stated. “HPC [high-performance computing]-period storage alone can not serve AI factory scale– the market requires a real architecture developed for it from the ground up.”

NetApp Keystone Sovereign includes controls beyond information residency, consisting of European-based assistance and escalation courses, European-controlled gain access to management and clearer paperwork of telemetry and information circulations, with preliminary pilots prepared for Germany and France.

“Fragmented information, dark information, irregular security, dealing with increasing attacks and solidifying sovereignty guidelines– this is the state of a lot of clients’ information estates,” stated Kurian.

Kurian framed the statements around what he called the agentic business, in which self-governing software application representatives act upon an organisation’s behalf. Those representatives require “memory and context”, he argued, and turning information into relied on, governed context is the task he laid out for the AI Data Engine.

The broadened AI Data Engine lets organisations find, govern and trigger information where it lives without developing copies, with metadata ability that now covers heterogeneous sources beyond NetApp storage. NetApp has actually made the AI Data Engine totally free for the very first 6 months, while a broadened Commvault combination intends to find dangers earlier and recuperate tidy information in minutes instead of days or weeks. And a freshly broadened collaboration makes OnTap storage offered on Oracle Cloud Infrastructure.

Simon Robinson, primary expert for storage and information facilities at Omdia, stated information sovereignty is ending up being a specifying requirement in regulated markets. “Solutions that can supply that clearness while protecting the versatility of as-a-service facilities are well placed to develop trust and broaden adoption in sovereignty-sensitive areas,” he stated.

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