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Nutanix Unified Storage Gains NVIDIA Certification for AI Workloads

Source Decision Insights Record Published June 1, 2026 Companies 2
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2 companies named across 5 categories, one of 476 articles referencing Nvidia. Previous coverage: Xage Security Supercharges Its Just-Announced Zero Trust for Agentic AI Solution with NVIDIA Vera BlueField-4 STX Security Innovations (Jun 2026).

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Nutanix said its Nutanix Unified Storage (NUS) solution became NVIDIA-Certified at the enterprise level, covering production workloads that support NVIDIA-powered AI infrastructure. The company framed the change around validation intended to reduce integration risk for systems used with large-scale production AI workloads.

Nutanix linked the certification to deployment needs for AI workloads, citing requirements to keep data moving and to reduce deployment risk in environments where infrastructure can be fragmented and performance inconsistent. The company also said it planned additional support for NVIDIA Vera BlueField-4 STX.

NUS was described as a 10-node, all‑NVMe cluster that uses enhanced parallel NFS (pNFS) and GPUDirect Storage over NFS with RDMA to create a low-latency, high-throughput and resilient data path between GPUs and storage. The reference architecture included NVIDIA Spectrum‑X Ethernet, featuring NVIDIA Spectrum‑4 switches and BlueField‑3 DPUs, with reported 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.

Nutanix said the NVIDIA-Certified reference architecture was available today, and planned support for NVIDIA BlueField-4 STX was expected in the second half of 2026. “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, maximize GPU utilization, and scale production AI workloads with confidence.”

Press release, provided by Globe Newswire on behalf of Nutanix. Read the original.

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