SAN JOSE, CA (GTC), Mar 24, 2025 – AI doesn’t just need data – it needs the right data, at the right time, delivered in quick time. That’s where the new NVIDIA AI Data Platform steps in. Announced as a customizable reference design, it’s being used by top storage providers to build a class of infrastructure designed specifically for AI inference workloads.
So, what does that mean? Imagine enterprise storage systems not just storing data – but actively understanding it. Using the NVIDIA AI Data Platform, NVIDIA-Certified Storage providers can build infrastructure to speed AI reasoning workloads with AI query agents. The agents help businesses generate insights from data in real-time, using NVIDIA AI Enterprise software – including NVIDIA NIM microservices for the new NVIDIA Llama Nemotron models with reasoning capabilities – and the new NVIDIA AI-Q Blueprint.
And it doesn’t stop there. Storage providers can fine-tune performance with powerful NVIDIA Blackwell GPUs, BlueField DPUs, Spectrum-X networking, and the open-source Dynamo inference library.
Leading data platform and storage providers – 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 businesses using enterprise storage for the data that drives their company.
NVIDIA’s Blackwell GPUs, BlueField DPUs, and Spectrum-X networking work together to enhance AI data retrieval from enterprise storage systems. BlueField DPUs deliver up to 1.6x higher performance than CPU-based storage solutions while using up to 50% less power. This results in over three times the performance per watt. Spectrum-X improves AI storage traffic efficiency by up to 48% compared to standard Ethernet, utilizing adaptive routing and advanced congestion control.
AI Data Platform storage infrastructure uses the NVIDIA AI-Q Blueprint to develop 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 accurate, context-aware responses. They can access large-scale data 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 offer solutions built with the NVIDIA AI Data platform starting in March 2025.
Source: NVIDIA
About NVIDIA
NVIDIA Corp. is an American tech company headquartered in Santa Clara, CA. Renowned for designing and manufacturing graphics processing units (GPUs), NVIDIA’s innovations have significantly impacted various sectors. The company’s products and services cater to industries such as gaming, where its GPUs enhance visual experiences; artificial intelligence (AI), providing high-performance computing solutions; automotive, contributing to autonomous vehicle technologies; and robotics, offering advanced AI perception and simulation tools. Over its more than three decades in business, NVIDIA has experienced substantial growth. In the fiscal quarter ending January 2025, the company reported record revenue of $39.3 billion and a net income of $22.1 billion. NVIDIA’s headquarters, designed to facilitate a flat organizational structure, emphasizes information flow and harmony between leadership and employees.