At GTC 2025, NVIDIA 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."

DDN, a leading force in AI data intelligence, today set a new standard in AI and HPC data management with the launch of trailblazing upgrades to its data intelligence platform at Supercomputing 2024 in Atlanta. Built in close collaboration with NVIDIA, these advancements give organizations unmatched power to scale and optimize AI data operations—delivering efficiency, seamless scalability, and the kind of ROI that fuels business growth and innovation.

At the core of this innovation is DDN's deep integration with NVIDIA, bringing unparalleled performance enhancements to AI and HPC workloads. With the debut of DDN's next-generation A³I data platform, the AI400X3 organizations can now achieve a staggering 60 percent performance boost over previous generations. This boost translates to faster AI training, real-time insights, and smoother data processing, giving enterprises the agility to make rapid decisions and gain a competitive edge in today's data-driven landscape.

NEC Corporation (NEC; TSE: 6701) has received an order for a next-generation supercomputer system from Japan's National Institutes for Quantum Science and Technology (QST), under the National Research and Development Agency, and the National Institute for Fusion Science (NIFS), part of the National Institutes of Natural Sciences under the Inter-University Research Institute Corporation. The new supercomputer system is scheduled to be operational from July 2025. The next-generation supercomputer system will feature multi-architecture with the latest CPUs and GPUs and will consist of large storage capacity and a high-speed network. This system is expected to be used for various research and development in the field of fusion science research.

Specifically, the system will be used for precise prediction of experiments and creation of operation scenarios in the ITER project, which is being promoted as an international project, and the Satellite Tokamak (JT-60SA) project, which is being promoted as a Broader Approach activity, and for design of DEMO reactors. The DEMO project promotes large-scale numerical calculations for DEMO design and R&D to accelerate the realization of a DEMO reactor that contributes to carbon neutrality. In addition, NIFS will conduct numerical simulation research using the supercomputer for multi-scale and multi-physics systems, including fusion plasmas, to broadly accelerate research on the science and applications of fusion plasmas, and as an Inter-University Research Institute, will provide universities and research institutes nationwide with opportunities for collaborative research using the state-of-the-art supercomputer.

DDN, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced a major breakthrough for its all flash and hybrid storage solutions. DDN's parallel file system technology, combined with AI and data center specific data compression, delivers the highest performance efficiency straight into generative AI, machine learning and other enterprise high-performance applications.

Eliminating the need for complex networking and heavily bottlenecked performance found in other data storage solutions, DDN's new AI400X2 QLC and hybrid storage arrays combine DDN's parallel file system with novel client-side data compression, increasing performance by 10x, growing effective capacity by up to 15x and reducing data center footprint by 2x.