NVIDIA and Storage Giants Introduce Next-Gen Enterprise Infrastructure for AI Applications

NVIDIA introduces the AI Data Platform at GTC 2025

At the recent GTC 2025, nVidia made a splash with the introduction of the NVIDIA AI Data Platform. This innovative, customizable reference design is set to revolutionize how leading providers build AI infrastructure tailored for demanding AI inference workloads. Imagine enterprise storage platforms equipped with AI query agents that leverage NVIDIA’s accelerated computing, networking, and software. Sounds impressive, right?

By harnessing the NVIDIA AI Data Platform, certified storage providers can craft infrastructure that supercharges AI reasoning workloads. These specialized AI query agents are designed to help businesses extract insights from their data in near real-time. With the support of NVIDIA AI Enterprise software—including the nifty NVIDIA NIM microservices for the latest Llama Nemotron models—companies can tackle complex queries like never before.

A New Era of Enterprise Storage

So, what does this mean for the storage industry? Well, NVIDIA is teaming up with some of the biggest names in the business—think DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data, and WEKA—to create tailored AI data platforms. These collaborations aim to harness enterprise data to reason and respond to intricate queries, making data the true powerhouse of the AI age. As Jensen Huang, NVIDIA’s founder and CEO, aptly put it, “Data is the raw material powering industries in the age of AI.”

Accelerated Computing Meets Storage

The NVIDIA AI Data Platform isn’t just about fancy tech jargon; it’s about bringing accelerated computing and AI capabilities to the millions of businesses relying on enterprise storage. With NVIDIA Blackwell GPUs, BlueField DPUs, and Spectrum-X networking, this platform is designed to enhance AI query agent access to essential data.

For instance, BlueField DPUs can deliver up to 1.6 times the performance of traditional CPU-based storage while slashing power consumption by up to 50%. That’s a win-win! Meanwhile, Spectrum-X optimizes AI storage traffic, boosting speeds by up to 48% compared to standard Ethernet through smart routing and congestion control.

The Power of AI Query Agents

The AI Data Platform also utilizes the NVIDIA AI-Q Blueprint, which is a game-changer for developing agentic systems. This blueprint taps into NVIDIA NeMo Retriever microservices, accelerating data extraction and retrieval by up to 15 times on NVIDIA GPUs. The result? AI query agents that can connect to data during inference, providing more accurate and context-aware responses. They can access large-scale datasets quickly and process various data types—from structured to unstructured data, including text, PDFs, images, and videos.

Storage Giants Collaborate with NVIDIA

The excitement doesn’t stop there. NVIDIA-Certified Storage partners are eagerly working on custom AI data platforms. DDN, for example, is integrating AI Data Platform capabilities into its DDN Infinia AI platform. Dell is crafting AI data platforms for its PowerScale and Project Lightning solutions, while Hewlett Packard Enterprise is infusing AI Data Platform features into its HPE Private Cloud for AI and HPE Data Fabric.

Hitachi Vantara is also on board, enhancing its Hitachi IQ ecosystem to help customers innovate with storage systems that yield tangible AI outcomes. Not to be left behind, IBM is weaving AI Data Platform into its content-aware storage capabilities, accelerating retrieval-augmented generation applications.

Meanwhile, NetApp is pushing the envelope for agentic AI with its AIPod solution, and Nutanix is set to integrate the NVIDIA AI Data Platform with its Cloud Platform, enabling seamless inferencing across various environments—from edge to data center to public cloud.

The Future is Bright for AI Data Platforms

Pure Storage is also getting in on the action, delivering AI Data Platform capabilities with its FlashBlade. VAST Data is collaborating to curate real-time insights with its InsightEngine, while WEKA Data Platform software is optimizing data access for agentic AI reasoning, creating a high-performance storage foundation for AI inference and token processing workloads.

The best part? NVIDIA-Certified Storage providers are gearing up to roll out solutions powered by the NVIDIA AI Data Platform starting this month. So, are you ready to embrace this new wave of AI-driven insights? The future of data is here, and it’s looking incredibly promising.

Background Information

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About Dell:

Dell is a globally technology leader providing comprehensive solutions in the field of hardware, software, and services. for its customizable computers and enterprise solutions, Dell offers a diverse range of laptops, desktops, servers, and networking equipment. With a commitment to innovation and customer satisfaction, Dell caters to a wide range of consumer and business needs, making it a important player in the tech industry.

  

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About IBM:

IBM, or International Business Machines Corporation, is a globally American multinational technology company with a storied history dating back to its founding in 1911. Over the decades, IBM has consistently been at the forefront of innovation in the field of information technology. The company is known for its pioneering work in computer hardware, software, and services, with breakthroughs like the IBM System/360 and the invention of the relational database.

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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Blackwell: Blackwell is an AI computing architecture designed to supercharge tasks like training large language models. These powerful GPUs boast features like a next-gen Transformer Engine and support for lower-precision calculations, enabling them to handle complex AI workloads significantly faster and more efficiently than before. While aimed at data centers, the innovations within Blackwell are expected to influence consumer graphics cards as well

Latest Articles about Blackwell

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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