Digital Event Horizon
The world's leading storage and server manufacturers are combining their design and engineering expertise with the NVIDIA AI Data Platform to provide systems that enable a new generation of agentic AI applications and tools. Learn more about how this innovative technology is being adopted by enterprises globally.
The world's leading storage and server manufacturers are combining their design and engineering expertise with the NVIDIA AI Data Platform to provide systems for agentic AI applications and tools. The adoption of the NVIDIA AI Data Platform has been driven by its ability to provide high-speed data access, enterprise-grade security, and continuous learning loops. Original design manufacturers (ODMs) are working with storage system leaders to bring innovative AI Data Platform hardware to enterprises more quickly. AIC, ASUS, Foxconn, Quanta Cloud Technology, Supermicro, Wistron, and other storage system leaders are developing new storage and server hardware platforms that support the NVIDIA reference design. The adoption of these solutions has far-reaching implications for enterprises across industries, enhancing AI queries, security, and data privacy compliance.
The world's leading storage and server manufacturers are combining their design and engineering expertise with the NVIDIA AI Data Platform — a customizable reference design for building a new class of AI infrastructure — to provide systems that enable a new generation of agentic AI applications and tools. The NVIDIA AI Data Platform is now being harnessed by storage system leaders globally to support AI reasoning agents and unlock the value of information stored in the millions of documents, videos and PDFs enterprises use.
The adoption of the NVIDIA AI Data Platform has been driven by its ability to provide high-speed data access, enterprise-grade security, and continuous learning loops. This enables organizations to operationalize agentic AI systems that drive smarter decisions, automate complex workflows, and unlock new levels of productivity. The platform's accelerated computing, networking, and software capabilities have also enabled the development of innovative AI Data Platform hardware.
Several original design manufacturers (ODMs) are working with storage system leaders to bring innovative AI Data Platform hardware to enterprises more quickly. These ODMs provide the chassis design, GPU integration, cooling innovation, and storage media connections needed to build AI Data Platform servers that are reliable, compact, energy efficient, and affordable. The high percentage of the ODM industry's market share comprises manufacturers based or colocated in Taiwan, making the region a crucial hub for enabling the hardware to run scalable agentic AI, inference, and AI reasoning.
AIC, ASUS, Foxconn, Quanta Cloud Technology, Supermicro, Wistron, and other storage system leaders are developing new storage and server hardware platforms that support the NVIDIA reference design. These platforms feature NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA BlueField DPUs, and NVIDIA Spectrum-X Ethernet networking, and are optimized to run NVIDIA AI Enterprise software.
The adoption of these innovative AI Data Platform-based solutions has far-reaching implications for enterprises across industries. By embedding NVIDIA GPUs, networking, and NIM microservices closer to storage, storage providers can enhance AI queries by bringing compute closer to critical content. Additionally, they can integrate their document-security and access-control expertise into content-indexing and retrieval processes, improving security and data privacy compliance for AI inference.
Several leading storage providers are using the NVIDIA reference design to scale their AI technologies. IBM Fusion, a hybrid cloud platform for running virtual machines, Kubernetes, and AI workloads on Red Hat OpenShift, offers content-aware storage services that unlock the meaning of unstructured enterprise data, enhancing inferencing so AI assistants and agents can deliver better, more relevant answers.
NetApp is advancing enterprise storage for agentic AI with the NetApp AIPod solution built with the NVIDIA reference design. NetApp incorporates NVIDIA GPUs in data compute nodes to run NVIDIA NeMo Retriever microservices and connects these nodes to scalable storage with NVIDIA networking.
The adoption of agentic AI infrastructure built with these new AI Data Platform-based solutions can help enterprises turn data into actionable knowledge using retrieval-augmented generation (RAG) software, including NVIDIA NeMo Retriever microservices and the AI-Q NVIDIA Blueprint. Storage systems built with the NVIDIA AI Data Platform reference design turn data into knowledge, boosting agentic AI accuracy across many use cases.
This can enable AI agents to provide quicker, more accurate responses, and assist cybersecurity teams in keeping software secure. Additionally, they can assist researchers of all kinds by generating interactive summaries of complex documents — and even videos — while enhancing the security and data privacy compliance for AI inference.
In conclusion, the adoption of the NVIDIA AI Data Platform has been driven by its ability to provide high-speed data access, enterprise-grade security, and continuous learning loops. The platform's accelerated computing, networking, and software capabilities have enabled the development of innovative AI Data Platform hardware. As storage leaders continue to innovate on AI Data Platform hardware, we can expect to see more agentic AI applications and tools emerge that drive smarter decisions, automate complex workflows, and unlock new levels of productivity.
Related Information:
https://www.digitaleventhorizon.com/articles/The-Rise-of-Agentic-AI-Infrastructure-How-Storage-Leaders-Are-Harnessed-to-Unlock-the-Power-of-Artificial-Intelligence-deh.shtml
Published: Mon May 19 02:13:39 2025 by llama3.2 3B Q4_K_M
