Everpure Simplifies Enterprise AI with Evergreen//One for AI and Data Stream Beta
Rhea-AI Summary
Everpure (NYSE: PSTG) unveiled Evergreen//One for FlashBlade//EXA and announced the Everpure Data Stream beta launching later in 2026 to simplify enterprise AI deployment. The release highlights record SPEC and MLPerf-validated performance: 6,300 simultaneous AI jobs, >90% GPU utilization, linear scaling, and compact rack density.
The company emphasizes automated data pipelines, NVIDIA STX alignment, NVCS validation pathway, and Supermicro co-engineering to accelerate pilot-to-production AI workflows.
Positive
- Record SPEC result: highest-ever SPEC Storage AI_Image score
- Sustained 6,300 concurrent AI jobs in benchmark
- >90% GPU utilization on large NVIDIA Hopper clusters (MLPerf-validated)
- Data throughput 2x faster than nearest competitor while using less than 50% rack
Negative
- Everpure Data Stream is in beta and launches later in 2026 (limited availability)
- Key MLPerf measurements are internal/not submitted, not official public results
- NVCS 'NCP' certification is a pathway target, not yet achieved
Key Figures
Market Reality Check
Peers on Argus
PSTG gained 1.79% while key peers were mixed: SMCI +1.14%, WDC +1.21%, STX +0.32%, LOGI +1.09%, and HPQ -1.68%, pointing to a stock-specific AI response rather than a broad storage move.
Previous AI Reports
| Date | Event | Sentiment | Move | Catalyst |
|---|---|---|---|---|
| Oct 28 | AI factory solution | Positive | -0.1% | Cisco-NVIDIA AI factory design to move generative AI from pilot to production. |
| Sep 25 | AI data platform | Positive | -1.6% | Enterprise Data Cloud enhancements to unify data for AI with new integrations. |
| Mar 18 | NVIDIA AI integration | Positive | +3.3% | Integration of NVIDIA AI Data Platform and multiple certifications for FlashBlade. |
| Mar 11 | AI storage launch | Positive | +1.5% | Launch of FlashBlade//EXA targeting AI and HPC with very high performance. |
| Nov 18 | GenAI Pod launch | Positive | +2.8% | Introduction of GenAI Pod and NVIDIA DGX-linked certifications for AI workloads. |
AI-tagged announcements have historically produced modest moves, averaging 1.16%, with more positive than negative reactions but no extreme spikes.
Over the past year, Everpure (formerly Pure Storage) has steadily expanded its AI-focused storage stack. Prior AI news covered NVIDIA AI Data Platform integration, new GenAI Pods, and FlashBlade//EXA launches, generally producing small but mostly positive moves around 1–3%. Broadly, recent company news also includes strong FY26 earnings with revenue of $3.7B and significant subscription growth. Today’s Evergreen//One for AI and Data Stream Beta update continues this strategy of deepening AI data infrastructure capabilities rather than changing direction.
Historical Comparison
Past AI announcements moved PSTG about 1.16% on average. Today’s AI-focused Evergreen//One and Data Stream update shows a similar, measured reaction versus prior AI news.
AI news has evolved from GenAI Pods and initial FlashBlade//EXA launches to deeper NVIDIA integrations and now Evergreen//One and Data Stream, emphasizing full AI data pipelines.
Market Pulse Summary
This announcement reinforces Everpure’s strategy of building a full AI data pipeline, from FlashBlade//EXA infrastructure to Evergreen//One consumption and the Data Stream Beta. Benchmarks like 6,300 concurrent AI jobs and sustained 90%+ GPU utilization position the platform as performance-focused rather than purely conceptual. Historically, AI news around PSTG has produced modest average moves of 1.16%, so investors may watch for concrete adoption metrics and revenue contributions from these AI offerings over time.
Key Terms
gpu technical
mlperf technical
AI-generated analysis. Not financial advice.
Accelerate the transition from pilot to production with benchmark-proven performance, automated data pipelines, and a flexible consumption model
Evergreen//One (EG1) for AI now extends across FlashBlade//EXA, providing the massive performance, scalability, and throughput required for large-scale training and inference. Complementing this, the Everpure Data Stream Beta–launching later in 2026–accelerates time-to-result by eliminating the friction of manual data movement with a direct, automated pipeline from data ingestion to inference.
"Most AI projects fail to reach production for enterprises because many treat AI as 'just another workload.' We are helping customers break down siloed data and move AI initiatives from pilot to production with infrastructure that delivers guaranteed performance, flexibility, and growth. Whether organizations are preparing data or running large-scale inference, we ensure they have the tools to succeed," said Kaycee Lai, Vice President, AI, Everpure.
"Evergreen//One completely solved our capacity planning challenges," says Andrea Moccia, VP, AI and Data, Options Technology. "We can now deploy storage anywhere in the world, consume it on a pay-as-you-go basis, and scale on demand—bringing down the barriers to global growth and flexing to meet the demands of rapidly evolving AI workloads."
"Everpure's technology allows us to deliver data storage performance at unprecedented consistency for even the most demanding AI workloads," said Sabur Mian, CEO and Founder, STN. "In a typical storage infrastructure, researchers might start training a model on four nodes and get good performance–but as soon as they start scaling up, that performance collapses. With FlashBlade//EXA, we've scaled up to 192 nodes so far, and we've yet to find the limit."
Proven Performance: Benchmarks that Validate the Full AI Data Stack
AI deployments succeed when infrastructure keeps GPUs running at peak capacity. Everpure is aligning FlashBlade//EXA with modular NVIDIA STX reference architecture to support the next generation of AI factories powered by the Vera Rubin platform. By combining EXA's performance and scalability with STX components such as BlueField-enabled storage controllers and context memory architectures, Everpure optimizes the AI pipeline—from data preparation to long-context inference. This architecture specifically addresses the high-performance context memory requirements of giga-scale inference, providing the low-latency data access necessary to sustain agentic workflows and multi-step reasoning systems at scale.
Recent industry benchmarks from SPECstorage Solution 2020 and MLPerf validate FlashBlade//EXA's ability to deliver consistent, repeatable performance needed to turn raw data into trained models at scale.
- Record-breaking SPEC benchmarks: FlashBlade//EXA achieved the highest score ever recorded for the SPEC Storage AI_Image benchmark. By successfully powering 6,300 simultaneous AI jobs, Everpure demonstrated FlashBlade//EXA's ability to sustain more concurrent training tasks at full speed than any other solution on the market today.
- Redefining AI economics: FlashBlade//EXA moves data twice as fast as its closest competitor while occupying less than half a rack of storage. By sustaining over
90% GPU utilization across large NVIDIA Hopper clusters—validated by MLPerf[1] model-driven workloads—EXA ensures compute resources never sit idle. As workloads grow, EXA scales linearly to dramatically reduce idle time and ensure your compute resources are never waiting around for their next task.
Additionally, extending NVIDIA-Certified Storage (NVCS) validation to FlashBlade//EXA provides the foundation for full-stack confidence. This integration creates a definitive path toward the NVCS 'NCP' certification level, purposefully aligned with NVIDIA Cloud Partner (NCP) reference architectures.
Automated Orchestration: Simplifying the Path to AI-Ready Data
To fully operationalize these performance gains, Everpure Data Stream simplifies curation and orchestration–ensuring high quality; AI ready data flows seamlessly into AI infrastructure. This accelerates time to insight and shortens the path from pilot to production, ensuring models are always working on the freshest data without administrative overhead.
Lowering the barrier to entry with a compact AI design is the Everpure Data Stream, co-engineered with Supermicro, and built on the NVIDIA AI Data Platform reference design. By combining Supermicro's hardware with Everpure's software-defined storage, enterprises can rapidly unlock the true value of their data.
As enterprise AI Factories require an AI Data Platform to prepare and deliver AI-ready data, Everpure also supports accelerated platforms including the NVIDIA RTX PRO 6000 Blackwell Server Edition and will expand support to the NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPU.
Success in the AI-driven landscape requires a strategy rooted in continuous data optimization–not a one-time infrastructure upgrade. Everpure's platform provides this essential foundation, treating AI readiness not as a single milestone, but as an ongoing journey of preparation and performance validation.
[1] Based on internal MLPerf component measurements (not submitted; not an official result).
About Everpure
Everpure (NYSE: PSTG) allows organizations to take control of their data with an industry-leading, ever-evolving storage and data management platform. We help companies unleash the power of their data by ensuring it is accessible, intelligent, and ready to perform in the AI era. We make data management effortless while simultaneously scaling performance and significantly reducing energy consumption. With one of the highest Net Promoter Scores for over a decade, Everpure is the choice of the world's most innovative organizations. For more information, visit www.everpuredata.com.
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SOURCE Everpure
FAQ
What did Everpure announce on March 16, 2026 about Evergreen//One for FlashBlade//EXA (PSTG)?
When will Everpure Data Stream beta be available for PSTG customers?
How does FlashBlade//EXA improve GPU utilization for PSTG enterprise AI customers?
Are Everpure's performance claims for PSTG independently verified?
What partnerships support Everpure's PSTG AI infrastructure offerings?
