Faster time to value : Enterprises don’t need to design, build and optimize AI data pipelines from the ground up. AI data platforms deliver an integrated, state-of-the-art AI data pipeline out of the box.
Reduced data drift : By continuously ingesting, embedding and indexing enterprise data in near real time, AI data platforms reduce time to insight and minimize data drift.
Improved data security : Because source-of-truth documents are stored together in AI data platforms, any changes to their contents or permissions are instantly propagated to the AI applications that use them.
Simplified data governance : Preparing data in place reduces the proliferation of shadow copies that undermine access control, traceability and compliance.
Improved GPU utilization : In an AI data platform, GPU capacity is sized for the amount, type and change velocity of the data under management. GPU capacity scales with the data, ensuring GPUs are not over- or under-provisioned for data preparation tasks.
AI is changing every industry — and AI data platforms are the natural evolution of enterprise storage for the generative AI era, changing from passive containers to active engines delivering business value.
By integrating GPU acceleration into the data path, AI data platforms enable enterprises to activate their AI agents with AI-ready data quickly and securely.
The NVIDIA AI Data Platform reference design brings together NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA BlueField-3 DPUs and integrated AI data processing pipelines based on NVIDIA Blueprints .
The NVIDIA AI Data Platform design has been adopted by leading AI infrastructure and storage providers including Cisco, Cloudian, DDN, Dell Technologies, Hitachi Vantara, HPE, IBM, NetApp, Pure Storage, VAST Data and WEKA — each extending the design with their own unique differentiation and innovation.
Learn more about the NVIDIA AI Data Platform . Plus, tune in to this NVIDIA AI Podcast episode on AI data platforms:
1 Gartner, How to Design an Effective Data Quality Operating Model by Sue Waite and Melody Chien, 15 July 2025
2 Gartner, Governing Unstructured Data for AI Readiness: A Strategic Roadmap by Melody Chien, 14 August 2025
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gordon Bell Prize Winners Push Open Science Boundaries With NVIDIA-Powered Supercomputers
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/ai-data-platform-gpu-accelerated-storage/#content
- https://www.nvidia.com/en-us/
- https://blogs.nvidia.com/?s=
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- Retro computing enthusiast creates perforated tape reader designed 'from scratch' — reads data at about 50 bytes per second
- Wall Street warns of rising AI debt risk as stocks slide on wobbly investor confidence — analysts warn of 'systemic risk' as Nvidia share price creaks
- The upcoming Steam Machine won't be 'subsidized' like consoles to hit a more attractive price target, suggesting high relative pricing — Valve engineer confirms
- NVIDIA Wins Every MLPerf Training v5.1 Benchmark
Informational only. No financial advice. Do your own research.