NVIDIA and Storage Industry Leaders Unveil New Class of Enterprise Infrastructure for the Age of AI
NVIDIA has unveiled the NVIDIA AI Data Platform, a groundbreaking reference design for enterprise storage platforms featuring AI query agents. The platform combines NVIDIA Blackwell GPUs, BlueField DPUs, and Spectrum-X networking to enhance AI reasoning workloads.
Key technological advantages include BlueField DPUs delivering 1.6x higher performance than CPU-based storage with 50% lower power consumption, and Spectrum-X accelerating AI storage traffic by up to 48%. The platform utilizes NVIDIA AI Enterprise software, including NIM microservices for Llama Nemotron models, and the AI-Q Blueprint.
Major storage providers including DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data, and WEKA are partnering with NVIDIA to create customized AI data platforms. These solutions will begin rolling out this month through NVIDIA-Certified Storage providers.
NVIDIA ha svelato la NVIDIA AI Data Platform, un design di riferimento innovativo per piattaforme di archiviazione aziendale che presenta agenti di query basati su intelligenza artificiale. La piattaforma combina NVIDIA Blackwell GPUs, BlueField DPUs e networking Spectrum-X per migliorare i carichi di lavoro di ragionamento AI.
I principali vantaggi tecnologici includono i BlueField DPUs che offrono prestazioni 1,6 volte superiori rispetto all'archiviazione basata su CPU con un consumo energetico inferiore del 50%, e Spectrum-X che accelera il traffico di archiviazione AI fino al 48%. La piattaforma utilizza il software NVIDIA AI Enterprise, inclusi i microservizi NIM per i modelli Llama Nemotron e il Blueprint AI-Q.
I principali fornitori di archiviazione, tra cui DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data e WEKA, stanno collaborando con NVIDIA per creare piattaforme di dati AI personalizzate. Queste soluzioni inizieranno a essere distribuite questo mese attraverso i fornitori di archiviazione certificati NVIDIA.
NVIDIA ha presentado la NVIDIA AI Data Platform, un diseño de referencia innovador para plataformas de almacenamiento empresarial que cuenta con agentes de consulta de IA. La plataforma combina NVIDIA Blackwell GPUs, BlueField DPUs y la red Spectrum-X para mejorar las cargas de trabajo de razonamiento de IA.
Las principales ventajas tecnológicas incluyen que los BlueField DPUs ofrecen un rendimiento 1.6 veces superior al almacenamiento basado en CPU con un consumo de energía un 50% menor, y Spectrum-X acelera el tráfico de almacenamiento de IA hasta en un 48%. La plataforma utiliza el software NVIDIA AI Enterprise, incluidos los microservicios NIM para modelos Llama Nemotron y el AI-Q Blueprint.
Principales proveedores de almacenamiento, incluidos DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data y WEKA, están asociándose con NVIDIA para crear plataformas de datos de IA personalizadas. Estas soluciones comenzarán a implementarse este mes a través de proveedores de almacenamiento certificados por NVIDIA.
NVIDIA는 AI 쿼리 에이전트를 특징으로 하는 기업 저장 플랫폼을 위한 혁신적인 참조 디자인인 NVIDIA AI Data Platform을 공개했습니다. 이 플랫폼은 NVIDIA Blackwell GPUs, BlueField DPUs 및 Spectrum-X 네트워킹을 결합하여 AI 추론 작업을 향상시킵니다.
주요 기술적 이점으로는 BlueField DPUs가 CPU 기반 저장소보다 1.6배 높은 성능을 제공하며 전력 소비는 50% 낮고, Spectrum-X는 AI 저장 트래픽을 최대 48%까지 가속화합니다. 이 플랫폼은 Llama Nemotron 모델을 위한 NIM 마이크로서비스와 AI-Q Blueprint를 포함한 NVIDIA AI Enterprise 소프트웨어를 활용합니다.
DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data 및 WEKA와 같은 주요 저장소 제공업체들이 NVIDIA와 협력하여 맞춤형 AI 데이터 플랫폼을 만들고 있습니다. 이 솔루션은 이번 달부터 NVIDIA 인증 저장소 제공업체를 통해 배포될 예정입니다.
NVIDIA a dévoilé la NVIDIA AI Data Platform, un design de référence révolutionnaire pour les plateformes de stockage d'entreprise incluant des agents de requête IA. La plateforme combine NVIDIA Blackwell GPUs, des BlueField DPUs et un réseau Spectrum-X pour améliorer les charges de travail de raisonnement IA.
Les principaux avantages technologiques incluent des BlueField DPUs offrant des performances 1,6 fois supérieures à celles du stockage basé sur CPU avec une consommation d'énergie inférieure de 50 %, et un Spectrum-X qui accélère le trafic de stockage IA jusqu'à 48 %. La plateforme utilise le logiciel NVIDIA AI Enterprise, y compris des microservices NIM pour les modèles Llama Nemotron et le Blueprint AI-Q.
Les principaux fournisseurs de stockage, tels que DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data et WEKA, s'associent à NVIDIA pour créer des plateformes de données IA personnalisées. Ces solutions commenceront à être déployées ce mois-ci via des fournisseurs de stockage certifiés NVIDIA.
NVIDIA hat die NVIDIA AI Data Platform vorgestellt, ein bahnbrechendes Referenzdesign für Unternehmensspeicherplattformen mit KI-Abfrageagenten. Die Plattform kombiniert NVIDIA Blackwell GPUs, BlueField DPUs und Spectrum-X-Netzwerke, um KI-Überlegungsarbeiten zu verbessern.
Wesentliche technologische Vorteile sind, dass BlueField DPUs eine 1,6-fache höhere Leistung als CPU-basierte Speicherlösungen bieten und dabei 50% weniger Energie verbrauchen, während Spectrum-X den KI-Speicherverkehr um bis zu 48% beschleunigt. Die Plattform verwendet die NVIDIA AI Enterprise-Software, einschließlich NIM-Mikroservices für Llama Nemotron-Modelle und das AI-Q Blueprint.
Wichtige Speicheranbieter wie DDN, Dell Technologies, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data und WEKA arbeiten mit NVIDIA zusammen, um maßgeschneiderte KI-Datenplattformen zu schaffen. Diese Lösungen werden in diesem Monat über NVIDIA-zertifizierte Speicheranbieter eingeführt.
- BlueField DPUs achieve 3x higher performance per watt compared to traditional solutions
- Spectrum-X delivers 48% faster AI storage traffic acceleration
- Partnership with 10 major storage industry leaders expands market reach
- 15x faster data extraction and retrieval capabilities through NeMo Retriever
- None.
Insights
NVIDIA's AI Data Platform announcement represents a significant strategic expansion that strengthens the company's position in the enterprise AI ecosystem. This reference design enables NVIDIA to extend beyond GPUs deeper into the data infrastructure stack by integrating Blackwell GPUs, BlueField DPUs, and Spectrum-X networking into storage solutions.
By partnering with ten major storage providers (Dell, IBM, HPE, NetApp, etc.), NVIDIA is effectively creating a new product category that embeds their technology into enterprise data architecture. This move generates multiple revenue streams: hardware sales of GPUs and networking components, plus software licensing through NVIDIA AI Enterprise and NIM microservices.
The performance metrics are compelling for enterprises: BlueField DPUs delivering
Strategically, this creates significant competitive moats. As companies build data infrastructure around these NVIDIA-powered storage systems, switching costs increase substantially. The deeper NVIDIA embeds its technology stack into enterprise operations, the harder it becomes for competitors to displace them, effectively expanding NVIDIA's total addressable market while strengthening customer lock-in.
The NVIDIA AI Data Platform fundamentally transforms enterprise storage by integrating AI reasoning capabilities directly into data infrastructure. Traditional storage systems simply house data; these new platforms actively process and generate insights from it.
What makes this technically significant is the full-stack integration of accelerated computing (Blackwell GPUs), specialized networking (BlueField DPUs, Spectrum-X), and AI software (NVIDIA NIM, Dynamo library) into storage architecture. This creates purpose-built systems for AI inference workloads that can process queries against enterprise data with dramatically lower latency.
The AI query agents represent a paradigm shift in how enterprises interact with their data. Rather than moving massive datasets to compute resources, these agents bring intelligence directly to where data resides, enabling near real-time reasoning across structured and unstructured information sources (text, PDFs, images, video).
The open collaboration model with storage vendors ensures this technology reaches enterprises through their existing infrastructure providers, reducing adoption barriers. Each storage company is customizing implementations for their platforms while maintaining compatibility with NVIDIA's software stack.
This architectural approach addresses a critical challenge in enterprise AI deployment: the data access bottleneck. By co-locating AI processing capabilities with storage, these systems minimize data movement overhead that typically slows inference workloads, particularly for retrieval-augmented generation applications that depend on fast access to enterprise knowledge bases.
Storage Providers Build Infrastructure Featuring AI Query Agents That Tap NVIDIA Computing, Networking and Software to Reason and Rapidly Generate Accurate Responses to Complex Queries
SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- NVIDIA today announced the NVIDIA AI Data Platform, a customizable reference design that leading providers are using to build a new class of AI infrastructure for demanding AI inference workloads: enterprise storage platforms with AI query agents fueled by NVIDIA accelerated computing, networking and software.
Using the NVIDIA AI Data Platform, NVIDIA-Certified Storage providers can build infrastructure to speed AI reasoning workloads with specialized AI query agents. These agents help businesses generate insights from data in near real time, using NVIDIA AI Enterprise software — including NVIDIA NIM™ microservices for the new NVIDIA Llama Nemotron models with reasoning capabilities — as well as the new NVIDIA AI-Q Blueprint.
Storage providers can optimize their infrastructure to power these agents with NVIDIA Blackwell GPUs, NVIDIA BlueField® DPUs, NVIDIA Spectrum-X™ networking and the NVIDIA Dynamo open-source inference library.
Leading data platform and storage providers — including DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data and WEKA — are collaborating with NVIDIA to create customized AI data platforms that can harness enterprise data to reason and respond to complex queries.
“Data is the raw material powering industries in the age of AI,” said Jensen Huang, founder and CEO of NVIDIA. “With the world’s storage leaders, we’re building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers.”
NVIDIA AI Data Platform Adds Accelerated Computing and AI to Storage
The NVIDIA AI Data Platform brings accelerated computing and AI to the millions of businesses using enterprise storage for the data that drives their company.
NVIDIA Blackwell GPUs, BlueField DPUs and Spectrum-X networking provide an accelerated engine to speed AI query agent access to data stored on enterprise systems. BlueField DPUs deliver up to 1.6x higher performance than CPU-based storage while reducing power consumption by up to
AI Data Platform storage infrastructure uses the NVIDIA AI-Q Blueprint for developing agentic systems that can reason and connect to enterprise data. AI-Q taps into NVIDIA NeMo Retriever™ microservices to accelerate data extraction and retrieval by up to 15x on NVIDIA GPUs.
AI query agents built with the AI-Q Blueprint connect to data during inference to provide more accurate, context-aware responses. They can access large-scale data quickly and process various data types, including structured, semi-structured and unstructured data from multiple sources, including text, PDF, images and video.
Storage Industry Leaders Building AI Data Platforms With NVIDIA
NVIDIA-Certified Storage partners are collaborating with NVIDIA to build custom AI data platforms.
- DDN is architecting AI Data Platform capabilities into its DDN Infinia AI platform.
- Dell is creating AI data platforms for its family of Dell PowerScale and Project Lightning solutions.
- Hewlett Packard Enterprise is infusing AI Data Platform capabilities into HPE Private Cloud for AI, HPE Data Fabric, HPE Alletra Storage MP and HPE GreenLake for File Storage.
- Hitachi Vantara is bringing AI Data Platform into the Hitachi IQ ecosystem, helping customers innovate with storage systems and data offerings that drive tangible AI outcomes.
- IBM is integrating AI Data Platform as part of its content-aware storage capability with IBM Fusion and IBM Storage Scale technology to accelerate retrieval-augmented generation applications.
- NetApp is advancing enterprise storage for agentic AI with the NetApp AIPod solution built with AI Data Platform.
- Nutanix Cloud Platform with Nutanix Unified Storage will integrate with the NVIDIA AI Data Platform and enable inferencing and agentic workflows deployed across edge, data center and public cloud.
- Pure Storage will deliver AI Data Platform capabilities with Pure Storage FlashBlade.
- VAST Data is working with AI Data Platform to curate real-time insights with VAST InsightEngine.
- WEKA Data Platform software integrates with NVIDIA GPUs, DPUs and networking to optimize data access for agentic AI reasoning and insights and deliver a high-performance storage foundation that accelerates AI inference and token processing workloads.
NVIDIA-Certified Storage providers are planning to offer solutions created with the NVIDIA AI Data platform starting this month.
Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.
For further information, contact:
Alex Shapiro
Enterprise Networking
1-415-608-5044
ashapiro@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; NVIDIA’s collaboration with third parties; third parties adopting or offering NVIDIA’s products and technologies; and with the world’s storage leaders, NVIDIA building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
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FAQ
What performance improvements does NVIDIA's new AI Data Platform offer for enterprise storage?
Which major storage companies are partnering with NVIDIA for the AI Data Platform?
When will NVIDIA's AI Data Platform solutions become available?
How does NVIDIA's AI-Q Blueprint enhance data retrieval in the new platform?
