At the recent GTC 2025 event, NVIDIA Corp unveiled the NVIDIA AI Data Platform, which serves as a customizable reference design for constructing advanced AI infrastructures tailored for high-demand inference workloads. This platform is designed specifically for enterprise storage systems, integrating AI query agents enabled by NVIDIA’s accelerated computing technologies, networking, and software solutions.
NVIDIA AI Data Platform Features
This platform enables NVIDIA-Certified Storage providers to develop infrastructures that enhance AI reasoning workloads using specialized AI query agents. These agents facilitate real-time data insights through the NVIDIA AI Enterprise software, which includes powerful microservices like NVIDIA NIM and the new NVIDIA Llama Nemotron models equipped with reasoning capabilities. The recently introduced NVIDIA AI-Q Blueprint is also a cornerstone, aiding in the development of systems that leverage enterprise data for advanced reasoning and responses.
Technological Advancements
Storage infrastructures built on the NVIDIA AI Data Platform leverage technologies such as NVIDIA Blackwell GPUs and BlueField DPUs. The BlueField DPUs offer up to 1.6 times higher performance compared to conventional CPU-based systems while cutting power consumption by as much as 50%. Additionally, Spectrum-X networking enhances AI storage traffic by 48% compared to traditional Ethernet through innovative routing and congestion management techniques.
Collaborative Efforts
Leading companies in data platforms and storage are partnering with NVIDIA to develop specialized AI data platforms. Collaborators include:
- DDN: Integrating AI Data Platform features into its Infinia AI platform.
- Dell: Designing AI data platforms for its PowerScale and Project Lightning lines.
- Hewlett Packard Enterprise: Adding AI Data Platform capabilities to its private cloud and storage solutions.
- Hitachi Vantara: Incorporating AI solutions within the Hitachi IQ ecosystem.
- IBM: Enhancing content-aware storage with AI Data Platform integration.
- NetApp: Developing enterprise storage solutions via the NetApp AIPod that utilize the AI Data Platform.
- Nutanix: Integrating with the NVIDIA AI Data Platform for inferencing across hybrid environments.
- Pure Storage: Delivering AI capabilities with its FlashBlade storage solution.
- VAST Data: Using AI Data Platform to generate real-time insights through its InsightEngine.
- WEKA: Optimizing data access for AI reasoning with NVIDIA’s hardware and software integration.
Industry Impact
Jensen Huang, NVIDIA’s founder and CEO, emphasized the role of data as the driving force in the AI era. By collaborating with leading storage companies, NVIDIA aims to establish a new class of enterprise infrastructure necessary for deploying and scaling agentic AI across hybrid data centers.
Available Solutions: Starting this month, NVIDIA-Certified Storage providers will offer solutions created using the NVIDIA AI Data Platform. This initiative represents a significant advancement in how businesses can leverage their data for AI-driven insights. For more information about NVIDIA’s efforts and offerings, you can explore the NVIDIA GTC keynote and register for various sessions presented by NVIDIA and industry leaders.