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Nutanix Unified Storage Achieves NVIDIA Certification as Enterprises Race to Build AI Factories
Nutanix Unified Storage validated at enterprise level to support NVIDIA-powered AI infrastructure for production workloads Nutanix advances AI-native storage with planned NVIDIA BlueField-4 STX support Nutanix today announced the Nutanix Unified Storage (NUS) solution is NVIDIA-Certified at the enterprise level. NVIDIA-Certified Storage is designed to enable enterprises and cloud providers to confidently deploy storage solutions that support the performance, security, and scale required for large-scale production AI workloads. Nutanix is also advancing AI-native storage with planned support for NVIDIA Vera BlueField-4 STX, reinforcing its focus on faster data access, greater storage efficiency, and simpler AI operations at scale. As enterprises and cloud providers race to build AI factories to support production AI workloads, they require infrastructure that can keep data moving, maximise GPU utilisation, and reduce deployment risk. Success depends not only on access to powerful GPUs but on the ability to feed those systems with data efficiently and reliably. Fragmented infrastructure, siloed data, and inconsistent performance can slow deployments, limit GPU efficiency, and make AI harder to scale reliably. With this certification, Nutanix is providing enterprises and cloud providers with a validated configuration to support enterprise deployment of AI infrastructure. The certification helps ensure NUS is validated for full-stack interoperability with NVIDIA AI infrastructure, helping to reduce I/O bottlenecks and integration risk. By enabling linear scalability for the data-hungry demands of AI workloads, it helps ensure an organisation's most valuable assets, its GPUs and data, are working at maximum efficiency in production environments. "With Nutanix Unified Storage achieving NVIDIA enterprise certification, we're empowering our customers across Asia-Pacific and Japan to build a more reliable and high-performing foundation for AI from day one. We are focused on helping APJ organisations create a unified and simplified environment for AI, where data and workloads can flow cohesively to drive maximum value," said Helder Queiros, Senior Director, OEM & Alliances, APJ - Nutanix. "To build and run AI factories successfully, enterprises must move past fragmented infrastructure and data silos that limit GPU infrastructure efficiency," said Thomas Cornely, executive vice president, Product Management, Nutanix. "This NVIDIA certification validates that Nutanix Unified Storage delivers the full-stack interoperability, linear scalability, and reliable data velocity that modern AI workloads demand. By collaborating closely with NVIDIA, we are giving customers a unified, high-performance foundation to scale their production AI operations with confidence." "As enterprises scale their AI factory deployments to meet demanding agentic AI workloads, storage is foundational to unlocking full-stack performance, efficiency, and accuracy," said Jason Hardy, vice president, Storage Technology, NVIDIA. "Nutanix Unified Storage achieving NVIDIA certification gives customers a trusted, interoperable foundation to eliminate data bottlenecks, maximise GPU utilisation, and scale production AI workloads with confidence." Certified for NVIDIA-Powered AI Infrastructure Built on a 10-node, all‑NVMe cluster, NUS leverages enhanced parallel NFS (pNFS) and GPUDirect Storage over NFS with RDMA to establish a low-latency, high-throughput, and resilient data path directly between GPUs and storage -- maximising utilisation while minimising downtime. The result is a scalable foundation for enterprise AI that helps customers move from targeted GPU deployments to larger production environments while keeping storage performance predictable as AI workloads expand. To support large-scale AI performance, the solution uses NVIDIA Spectrum‑X Ethernet, including NVIDIA Spectrum‑4 switches and BlueField‑3 DPUs, and delivers linear scalability from 10 GB/s read and 5 GB/s write for 32 GPUs to 160 GB/s read and 80 GB/s write for 1,024 GPUs. This resilient, zero-downtime architecture provides a flexible foundation for AI workloads, supporting training, fine-tuning, inference, and RAG pipelines across a wide range of compute platforms including x86-based systems (NVIDIA RTX 6000 PRO Blackwell, NVIDIA H200 NVL), NVIDIA HGX servers with B200, H200, or H100 GPUs, and NVIDIA GH200 Grace Hopper Superchip configurations.
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Nutanix Storage Platform Gains NVIDIA Certification for Enterprise AI Deployments
Nutanix, Inc. is engaged in cloud software, offering organizations a single platform for running apps and data across clouds. The Company’s Nutanix Cloud Platform is designed to enable organizations to build a hybrid multicloud infrastructure, providing a consistent cloud operating model with a single platform for running applications and managing data in core data centers, at the edge, and on public clouds, all while supporting a variety of hypervisors and container platforms. Nutanix Cloud Platform supports a variety of workloads with varied compute, storage, and network requirements, including business-critical applications, data platforms, general-purpose workloads, end user computing and virtual desktop infrastructure services, enterprise artificial intelligence (AI) workloads, and cloud native applications. Its solutions are primarily sold through its channel partners or original equipment manufacturers (OEMs) and delivered directly to its end customers.
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Nutanix announced its Unified Storage solution achieved NVIDIA certification at the enterprise level, validating its ability to support large-scale production AI workloads. The certification addresses critical infrastructure challenges as enterprises build AI factories, ensuring full-stack interoperability and linear scalability from 10 GB/s for 32 GPUs to 160 GB/s for 1,024 GPUs.
Nutanix announced that its Nutanix Unified Storage (NUS) solution has achieved NVIDIA certification at the enterprise level, marking a significant milestone for organizations racing to deploy production-ready AI infrastructure
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. This NVIDIA certification validates that the Nutanix storage platform meets the performance, security, and scale requirements necessary for large-scale enterprise AI deployments, addressing a critical bottleneck as companies transform their data centers into AI factories1
.The certification comes as enterprises and cloud providers face mounting pressure to build infrastructure that can keep data flowing efficiently to maximize GPU utilization. Without validated storage solutions, organizations risk fragmented infrastructure, siloed data, and inconsistent performance that can limit GPU efficiency and make AI harder to scale reliably
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.As Thomas Cornely, executive vice president of Product Management at Nutanix, explained, enterprises must move past fragmented infrastructure and data silos that limit GPU infrastructure efficiency
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. The NVIDIA-powered AI infrastructure certification validates that Nutanix Unified Storage delivers full-stack interoperability, linear scalability, and reliable data velocity that modern AI workloads demand1
.Jason Hardy, vice president of Storage Technology at NVIDIA, emphasized that storage is foundational to unlocking full-stack performance, efficiency, and accuracy as enterprises scale AI factory deployments to meet demanding agentic AI workloads
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. The certification gives customers a trusted, interoperable foundation to eliminate data bottlenecks and scale production AI workloads with confidence1
.Built on a 10-node, all-NVMe cluster, the certified configuration leverages enhanced parallel NFS (pNFS) and GPUDirect Storage over NFS with RDMA to establish a low-latency, high-throughput data path directly between GPUs and storage
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. This AI-native storage architecture delivers impressive scalability metrics: from 10 GB/s read and 5 GB/s write for 32 GPUs to 160 GB/s read and 80 GB/s write for 1,024 GPUs1
.The solution uses NVIDIA Spectrum-X Ethernet, including NVIDIA Spectrum-4 switches and BlueField-3 DPUs, providing a resilient, zero-downtime architecture for AI workloads
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. This foundation supports training, fine-tuning, inference, and RAG pipelines across compute platforms including x86-based systems with NVIDIA RTX 6000 PRO Blackwell and H200 NVL, NVIDIA HGX servers with B200, H200, or H100 GPUs, and NVIDIA GH200 Grace Hopper Superchip configurations1
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Nutanix is advancing its AI-native storage capabilities with planned support for NVIDIA Vera BlueField-4 STX, reinforcing its focus on faster data access, greater storage efficiency, and simpler AI operations at scale
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. This forward-looking approach positions the Nutanix storage platform to support evolving enterprise AI requirements across hybrid multicloud infrastructure2
.Helder Queiros, Senior Director of OEM & Alliances for APJ at Nutanix, noted that the certification empowers customers across Asia-Pacific and Japan to build more reliable and high-performing foundations for enterprise AI from day one
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. The focus remains on helping organizations create unified environments where data and workloads can flow cohesively across data centers, at the edge, and on public clouds to drive maximum value from their AI investments1
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