NVIDIA Expands AI Infrastructure with New Storage Certification and Reference Architectures

NVIDIA Expands Certification Program to Enterprise Storage

NVIDIA has announced a significant expansion of its NVIDIA-Certified Systems program to include enterprise storage certification. This move, revealed at the NVIDIA GTC global AI conference, aims to streamline AI factory deployments in enterprises by integrating accelerated computing, networking, software, and storage 1

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The new NVIDIA-Certified Storage program validates that enterprise storage systems meet stringent performance and scalability requirements for AI and high-performance computing workloads. Leading enterprise data platform and storage providers, including DDN, Dell Technologies, Hewlett Packard Enterprise, IBM, NetApp, and others, have already joined the program 1

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Introduction of NVIDIA AI Data Platform

Alongside the storage certification, NVIDIA unveiled the NVIDIA AI Data Platform, a customizable reference design for building a new class of enterprise infrastructure tailored for demanding AI inference workloads 2

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. This platform enables NVIDIA-Certified Storage providers to develop infrastructure that accelerates AI reasoning workloads using specialized AI query agents.

The AI Data Platform incorporates NVIDIA Blackwell GPUs, BlueField DPUs, and Spectrum-X networking to enhance AI query agent access to enterprise data. Notable improvements include:

• BlueField DPUs delivering up to 1.6x higher performance than CPU-based storage
• 50% reduction in power consumption
• Spectrum-X accelerating AI storage traffic by up to 48% compared to traditional Ethernet 2

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Expanding the AI Ecosystem

The NVIDIA GTC 2025 event has become a focal point for the AI industry, showcasing not only NVIDIA's advancements but also a wide range of AI-focused offerings from various vendors 3

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. Storage vendors are prominently featured, demonstrating hardware systems, components, and software designed to support the growing demands of AI workloads.

Impact on Enterprise AI Deployment

These developments are set to significantly impact enterprise AI deployment:

1. Streamlined infrastructure: The new certification program and reference architectures simplify the selection and deployment of AI infrastructure for optimal performance and efficiency 1

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2. Enhanced data access: With enterprise data creation projected to reach 317 zettabytes annually by 2028, the new storage solutions are designed to handle massive, unstructured, and multimodal datasets crucial for AI workloads 1

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3. Accelerated AI reasoning: The AI Data Platform, combined with NVIDIA's hardware and software stack, enables faster and more accurate AI inference and reasoning capabilities 2

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Broader Industry Participation

The NVIDIA GTC 2025 event has evolved into a major gathering for AI technology advancements, attracting a wide range of companies showcasing their latest AI-related offerings 4

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. This includes major players in servers, storage, networking, and AI PCs, as well as smaller startups, all contributing to the expanding AI ecosystem.