Delivering AI-Prepared Enterprise Information With GPU-Accelerated AI Storage

AI brokers have the potential to develop into indispensable instruments for automating advanced duties. However bringing brokers to manufacturing stays difficult.

In keeping with Gartner, “about 40% of AI prototypes make it into manufacturing, and individuals reported information availability and high quality as a prime barrier to AI adoption.¹”

Similar to human employees, AI brokers want safe, related, correct and up to date information to ship enterprise worth — what the business is now calling “AI-ready information.”

Making enterprise information AI-ready presents distinctive challenges. Gartner estimates, “Unstructured information resembling paperwork and multimedia recordsdata accounts for 70% to 90% of organizational information, and poses distinctive governance challenges resulting from its quantity, selection and lack of coherent construction.²” Unstructured information sources embody electronic mail, PDFs, movies, audio clips and shows.

An rising class of GPU-accelerated information and storage infrastructure — the AI information platform — transforms unstructured information into AI-ready information rapidly and securely.

What Is AI-Prepared Information?

AI-ready information will be consumed by AI coaching, fine-tuning and retrieval-augmented era pipelines with out further preparation.

Making unstructured information AI-ready entails:

• Gathering and curating information from various sources
• Making use of metadata for information administration and governance
• Dividing the supply paperwork into semantically related chunks
• Embedding the chunks into vectors for environment friendly storage, search and retrieval

Enterprises can’t unlock the complete worth of their AI investments till their unstructured information is AI-ready.

Why Making Information AI-Prepared Is Troublesome

Making unstructured information AI-ready stays a considerable problem for many enterprises resulting from:

• Information complexity: A typical enterprise has a whole lot of various information sources in dozens of codecs and modalities — together with video, audio, textual content and pictures. This information lives in several storage silos.
• Information velocity: The amount of enterprise information is exploding. Predictions present world saved information will double over the subsequent 4 years. And the speed of information change is growing as enterprises undertake real-time streaming sensors resembling digicam feeds.
• Information sprawl and information drift: Frequent information copying and transformation introduces price and safety dangers. Over time, the content material or permissions of AI representations — resembling textual content chunks and embeddings — diverge from source-of-truth paperwork. Plus, because the variety of chatbots and brokers proliferates, the safety threat of information will increase.

Collectively, these components power enterprise information scientists to spend the vast majority of their time finding, cleansing and organizing information — leaving much less time for figuring out priceless insights.

The AI Information Platform — a New Class of Enterprise Information and Storage Infrastructure

AI information platforms are an rising class of GPU-accelerated information and storage infrastructure that makes enterprise information AI-ready.

By embedding GPU acceleration instantly into the information path, AI information platforms rework information for AI pipelines as a background operation invisible to the person.

The info is ready in place, minimizing pointless copies and related safety dangers.

By integrating information preparation as a core functionality of storage infrastructure, AI information platforms be certain that the accuracy and safety of the information is maintained. Any modifications to the sources of fact paperwork — together with edits or permission modifications — are immediately conveyed to their related vector embeddings.

Key advantages of AI information platforms embody:

• Quicker time to worth: Enterprises don’t have to design, construct and optimize AI information pipelines from the bottom up. AI information platforms ship an built-in, state-of-the-art AI information pipeline out of the field.
• Diminished information drift: By constantly ingesting, embedding and indexing enterprise information in close to actual time, AI information platforms scale back time to perception and reduce information drift.
• Improved information safety: As a result of source-of-truth paperwork are saved collectively in AI information platforms, any modifications to their contents or permissions are immediately propagated to the AI functions that use them.
• Simplified information governance: Getting ready information in place reduces the proliferation of shadow copies that undermine entry management, traceability and compliance.
• Improved GPU utilization: In an AI information platform, GPU capability is sized for the quantity, kind and alter velocity of the information below administration. GPU capability scales with the information, making certain GPUs will not be over- or under-provisioned for information preparation duties.

The NVIDIA AI Information Platform

AI is altering each business — and AI information platforms are the pure evolution of enterprise storage for the generative AI period, altering from passive containers to lively engines delivering enterprise worth.

By integrating GPU acceleration into the information path, AI information platforms allow enterprises to activate their AI brokers with AI-ready information rapidly and securely.

The NVIDIA AI Information Platform reference design brings collectively NVIDIA RTX PRO 6000 Blackwell Server Version GPUs, NVIDIA BlueField-3 DPUs and built-in AI information processing pipelines based mostly on NVIDIA Blueprints.

The NVIDIA AI Information Platform design has been adopted by main AI infrastructure and storage suppliers together with Cisco, Cloudian, DDN, Dell Applied sciences, Hitachi Vantara, HPE, IBM, NetApp, Pure Storage, VAST Information and WEKA — every extending the design with their very own distinctive differentiation and innovation.

Be taught extra concerning the NVIDIA AI Information Platform. Plus, tune in to this NVIDIA AI Podcast episode on AI information platforms:

¹Gartner, Tips on how to Design an Efficient Information High quality Working Mannequin by Sue Waite and Melody Chien, 15 July 2025

²Gartner, Governing Unstructured Information for AI Readiness: A Strategic Roadmap by Melody Chien, 14 August 2025

GARTNER is a registered trademark and repair mark of Gartner, Inc. and/or its associates within the U.S. and internationally and is used herein with permission. All rights reserved.