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Nutanix Unified Storage Achieves NVIDIA Certification as Enterprises Race to Build AI Factories

Rhea-AI Impact
(Neutral)
Rhea-AI Sentiment
(Positive)
Tags
AI

Nutanix (NASDAQ:NTNX) announced that Nutanix Unified Storage (NUS) is now NVIDIA‑Certified at the enterprise level, validating full-stack interoperability with NVIDIA AI infrastructure for large-scale production AI workloads.

NUS runs on a 10-node all‑NVMe cluster and uses NVIDIA Spectrum‑X Ethernet, delivering linear scalability from 10 GB/s read and 5 GB/s write for 32 GPUs up to 160 GB/s read and 80 GB/s write for 1,024 GPUs. The architecture supports training, fine-tuning, inference, and RAG pipelines across x86 platforms and NVIDIA HGX and GH200 systems. The NVIDIA‑Certified Nutanix Unified Storage reference architecture is available now, with planned support for NVIDIA BlueField‑4 STX in the second half of 2026.

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AI-generated analysis. Not financial advice.

Positive

  • Enterprise‑level NVIDIA certification for Nutanix Unified Storage
  • Validated full‑stack interoperability with NVIDIA AI infrastructure
  • Linear scalability from 10/5 GB/s (32 GPUs) to 160/80 GB/s (1,024 GPUs)
  • 10‑node all‑NVMe, low‑latency, high‑throughput data path between GPUs and storage
  • Architecture supports training, fine‑tuning, inference, and RAG pipelines
  • Reference architecture available immediately for NVIDIA‑powered AI infrastructure

Negative

  • Support for NVIDIA BlueField‑4 STX only planned for second half of 2026

News Market Reaction – NTNX

+7.30%
40 alerts
+7.30% News Effect
+2.9% Peak in 4 hr 48 min
+$1.03B Valuation Impact
$15.11B Market Cap
0.3x Rel. Volume

On the day this news was published, NTNX gained 7.30%, reflecting a notable positive market reaction. Argus tracked a peak move of +2.9% during that session. Our momentum scanner triggered 40 alerts that day, indicating elevated trading interest and price volatility. This price movement added approximately $1.03B to the company's valuation, bringing the market cap to $15.11B at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Cluster size: 10-node all-NVMe GPU count (lower): 32 GPUs GPU count (upper): 1,024 GPUs +5 more
8 metrics
Cluster size 10-node all-NVMe Nutanix Unified Storage reference architecture
GPU count (lower) 32 GPUs Performance baseline for AI workloads
GPU count (upper) 1,024 GPUs Scaled configuration for large AI factories
Throughput baseline 10 GB/s read, 5 GB/s write NUS performance for 32 GPUs
Throughput scaled 160 GB/s read, 80 GB/s write NUS performance for 1,024 GPUs
BlueField-4 STX timeline H2 2026 Planned support for NVIDIA BlueField-4 STX
Node count 10 nodes All-NVMe cluster for NVIDIA-Certified deployment
NVIDIA GPUs examples 32–1,024 GPUs Range of supported GPU configurations for AI workloads

Market Reality Check

Price: $54.97 Vol: Volume 7,268,890 is 1.63x...
high vol
$54.97 Last Close
Volume Volume 7,268,890 is 1.63x the 20-day average of 4,469,404, indicating elevated interest ahead of this AI storage certification. high
Technical Shares at 52.07 are trading below the 200-day MA of 53.5, despite a 6.68% pre-news gain and well off the 82.42 52-week high.

Peers on Argus

NTNX gained 6.68% pre-news while close peers were mixed: CHKP +2.76%, IOT +9.21%...

NTNX gained 6.68% pre-news while close peers were mixed: CHKP +2.76%, IOT +9.21%, TOST +3.91%, but FFIV -0.59% and NTAP -1.36%. No peers appeared in the momentum scanner, pointing to a stock-specific AI catalyst.

Previous AI Reports

5 past events · Latest: Apr 07 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Apr 07 AI platform update Positive -0.1% Enhancements to Nutanix Agentic AI for secure multitenant AI services.
Apr 07 AI platform expansion Positive -0.1% Expanded Cloud Platform for Agentic AI and hybrid multicloud operations.
Mar 16 AI stack launch Positive +2.8% Introduction of Nutanix Agentic AI full-stack solution for AI factories.
Mar 10 AI event lineup Positive -2.8% Announcement of .NEXT 2026 event program focused on enterprise AI.
Mar 03 AI survey report Positive +1.0% Enterprise Cloud Index highlighting AI-driven container adoption and risks.
Pattern Detected

AI-tagged announcements have produced mixed reactions, with three mild negative moves and two positive moves, yielding a small average move of 0.19% and no consistent upside pattern.

Recent Company History

Over recent months, Nutanix has issued multiple AI-focused announcements, from its Enterprise Cloud Index on AI-driven container adoption (Mar 3, 2026) to unveiling Nutanix Agentic AI and a full-stack platform with broad partner validation in March–April 2026. Two April AI platform updates saw slightly negative reactions, while the March Agentic AI launch drew a positive move. Today’s NVIDIA certification for Nutanix Unified Storage extends this AI infrastructure narrative into storage and data-path performance.

Historical Comparison

+0.2% avg move · In the past 6 months, NTNX issued 5 AI-tagged releases with an average move of 0.19%. Today’s AI sto...
AI
+0.2%
Average Historical Move AI

In the past 6 months, NTNX issued 5 AI-tagged releases with an average move of 0.19%. Today’s AI storage certification pre-news move of +6.68% stands out as a materially larger reaction.

AI news has progressed from survey insights and event programming to launching Nutanix Agentic AI and a complete Agentic AI platform, and now to NVIDIA-certified Unified Storage, deepening Nutanix’s role in enterprise AI infrastructure stacks.

Market Pulse Summary

The stock moved +7.3% in the session following this news. A strong positive reaction aligns with Nut...
Analysis

The stock moved +7.3% in the session following this news. A strong positive reaction aligns with Nutanix’s positioning around AI factories but exceeds its typical AI-news impact; prior AI-tagged releases averaged only 0.19% moves. A +6.68% pre-news gain around NVIDIA certification suggests investors focused on concrete, validated infrastructure roles. With shares still below the 53.5 200-day MA and far under the 82.42 52-week high, investors may weigh how durable AI-driven demand is against broader volatility in software infrastructure names.

Key Terms

gpudirect storage, nvidia spectrum-x ethernet, dpu, inference, +1 more
5 terms
gpudirect storage technical
"enhanced parallel NFS (pNFS) and GPUDirect Storage over NFS with RDMA..."
A method that lets data move directly from storage drives into a computer’s graphics processor memory without being routed through the central processor, cutting transfer steps, latency and CPU workload. For investors, it can speed up large-scale data tasks such as AI training and real-time analytics—like moving goods straight from a truck into a factory machine instead of unloading into a warehouse first—reducing operating cost and enabling faster, more efficient services or products.
nvidia spectrum-x ethernet technical
"the solution uses NVIDIA Spectrum‑X Ethernet, including NVIDIA Spectrum‑4 switches..."
NVIDIA Spectrum‑X Ethernet is a line of high‑speed networking hardware and software — including Ethernet switches and adapters — built to move very large volumes of data inside data centers with low delay and efficient handling of cloud and AI workloads. Investors care because faster, more efficient networking can drive customers to upgrade servers and infrastructure, affecting revenue, profit margins and competitive positioning in the data‑center market; think of it as the highway and traffic control for digital traffic.
dpu technical
"including NVIDIA Spectrum‑4 switches and BlueField‑3 DPUs, and delivers linear scalability..."
Distributions per unit (DPU) is the amount of cash or income paid to each unit holder of a trust, real estate investment trust (REIT) or similar pooled investment for a given period. It tells investors how much cash income they received per unit, like getting a fixed slice of a pie for every share you own, and helps compare yield and judge whether the payout level is steady, growing or at risk.
inference technical
"foundation for AI workloads, supporting training, fine-tuning, inference, and RAG pipelines..."
Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.
rag pipelines technical
"supporting training, fine-tuning, inference, and RAG pipelines across a wide range..."
A RAG pipeline is a color-coded summary of a company’s development projects or product candidates where each item is marked red, amber (yellow) or green to indicate risk, progress and likelihood of success. Like a traffic light for a portfolio, it helps investors quickly judge which programs are advancing smoothly, which need attention and which are high-risk, informing expectations about future milestones, costs and potential value.

AI-generated analysis. Not financial advice.

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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

SAN JOSE, Calif., June 01, 2026 (GLOBE NEWSWIRE) -- Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, 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, maximize GPU utilization, 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 organization’s most valuable assets, its GPUs and data, are working at maximum efficiency in production environments.

“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."

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—maximizing utilization while minimizing 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.

Availability

The NVIDIA-Certified Nutanix Unified Storage reference architecture is available today.

Planned support for NVIDIA BlueField-4 STX is expected to be available in the second half of 2026.

About Nutanix

Nutanix is a hybrid multicloud computing leader, offering organizations a unified software platform for running applications and AI and managing data anywhere. With Nutanix, organizations can simplify operations for traditional and modern applications, freeing them to focus on business goals. Trusted by more than 30,000 customers worldwide, Nutanix helps empower organizations to transform digitally and power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media.

© 2026 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix logo, and all Nutanix product and service names mentioned herein are registered trademarks or unregistered trademarks of Nutanix, Inc. (“Nutanix”) in the United States and other countries. All other brand names or marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). This press release is for informational purposes only and nothing herein constitutes a warranty or other binding commitment by Nutanix. Customer statements on results, benefits, savings or other outcomes depend on a variety of factors including their use case, individual requirements, and operating environments, and should not be construed to be a promise or obligation to deliver specific outcomes or as guarantees of future performance. This press release contains express and implied forward‑looking statements, including statements regarding the expected benefits, performance and capabilities of Nutanix Unified Storage, interoperability with NVIDIA technologies, planned support for NVIDIA BlueField‑4 STX, and anticipated demand for AI infrastructure. These forward‑looking statements are not historical facts and are based on Nutanix’s current expectations, estimates, assumptions, opinions, and beliefs. Actual results may differ materially from those expressed or implied by these forward‑looking statements as a result of various risks and uncertainties, including risks related to product development, the timing and availability of partner technologies, including NVIDIA technologies, and the performance of solutions in customer environments.



Media Contact:
Ken Lotich
pr@nutanix.com

FAQ

What NVIDIA certification did Nutanix Unified Storage (NTNX) receive for AI workloads?

Nutanix Unified Storage received enterprise-level NVIDIA certification for AI infrastructure. According to Nutanix, this validates full-stack interoperability with NVIDIA AI platforms to help reduce I/O bottlenecks, limit integration risk, and support large-scale production AI workloads across GPUs and storage systems.

How does Nutanix Unified Storage NTNX scale performance for NVIDIA GPU-based AI factories?

Nutanix Unified Storage is designed to deliver linear performance scalability. According to Nutanix, it scales 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 using a 10-node all-NVMe cluster and NVIDIA Spectrum-X Ethernet.

What technologies power the NVIDIA-certified Nutanix Unified Storage AI architecture?

The NVIDIA-certified Nutanix architecture uses a 10-node all-NVMe cluster with enhanced pNFS and GPUDirect Storage. According to Nutanix, it leverages NVIDIA Spectrum-X Ethernet, Spectrum-4 switches, and BlueField-3 DPUs to provide a low-latency, high-throughput data path between GPUs and storage.

Which AI workloads and platforms does Nutanix Unified Storage NTNX support?

Nutanix Unified Storage supports training, fine-tuning, inference, and RAG pipelines. According to Nutanix, it works across x86 systems with NVIDIA RTX 6000 PRO Blackwell and H200 NVL, NVIDIA HGX servers with B200, H200, H100 GPUs, and NVIDIA GH200 Grace Hopper Superchip configurations.

When will Nutanix NTNX support NVIDIA BlueField-4 STX for AI-native storage?

Support for NVIDIA BlueField-4 STX is planned for the second half of 2026. According to Nutanix, this future capability is intended to further advance AI-native storage by focusing on faster data access, greater storage efficiency, and simpler AI operations at scale.

Is the NVIDIA-certified Nutanix Unified Storage reference architecture available now?

Yes, the NVIDIA-certified Nutanix Unified Storage reference architecture is currently available. According to Nutanix, this validated configuration allows enterprises and cloud providers to deploy NVIDIA-powered AI infrastructure with a tested storage stack aimed at reducing deployment and integration risks.