AI
AI
AI
Enterprise storage is being repositioned for the artificial intelligence era, and one of the leading players in the field has actively pursued an agenda aimed at operationalizing data.
Everpure Inc., which rebranded in February from Pure Storage, has unveiled a set of actions during the first half of this year designed to position storage as an active data platform for AI, automation, cyber resilience and enterprise intelligence. Recent moves have included the launch of a control plane architecture to protect data against ransomware attacks and the new Everpure Data Stream Beta, which provides a direct, automated pipeline from data ingestion to inference.
These and other key actions by the company will be part of the agenda at the Pure Accelerate gathering in Las Vegas later this month.
“The biggest challenge facing enterprise AI is not access to models — it is the ability to operationalize data, infrastructure and governance at scale,” said Rob Strechay, managing director and principal analyst at theCUBE Research. “Our research shows that more than four out of five organizations are pursuing multi-vendor data strategies, and nearly 90% believe governance, metadata and lineage will become even more critical as AI adoption accelerates. At Pure Accelerate, I expect the discussion to center on how organizations can move from managing infrastructure silos to creating a unified data foundation that improves efficiency, strengthens resilience and delivers measurable ROI from AI investments.”
TheCUBE, SiliconANGLE Media’s livestreaming studio, will cover the latest news and announcements at Pure Accelerate in Las Vegas, June 17. Tune in for on-site reporting and exclusive interviews as theCUBE’s analysts talk with industry leaders from Everpure, its partners and customers. Coverage will explore how Everpure is connecting flash-based performance, intelligent automation and cyber resilience into a unified data platform, as well as what that means for organizations moving AI workloads from experimentation into production. (* Disclosure below.)
Everpure’s continued transformation reflects AI’s impact on enterprise IT and how storage practitioners are seeking to unlock the true value of enterprise data for customers. One example of this can be seen in last month’s news that Everpure would introduce new capabilities for users of Red Hat OpenShift, orchestrated to deliver a native Kubernetes experience for managing storage and data across AI workloads, containers and virtual machines. Through Everpure’s Portworx offering, customers can address performance demands and strict data sovereignty requirements, while maintaining consistent data services across cloud, edge and on-prem environments.
Everpure’s strategy is to connect storage modernization and AI-ready infrastructure into a broader platform story. It is a timely move, according to Sam Weston, industry analyst at theCUBE Research, as companies try to simplify data management, support AI workloads and make infrastructure more intelligent, efficient and reliable.
“TheCUBE Research finds that despite unprecedented investment in AI infrastructure, organizations continue to encounter bottlenecks related to data movement, orchestration and utilization efficiency, which highlights why events like Pure Accelerate are focusing on unified data strategies that go beyond raw compute,” Weston said.
The focus on data strategies underscores a fundamental shift in operational thinking among enterprises. Storage is increasingly being viewed as more than a “nice-to-have” commodity; it is emerging as a strategic asset in today’s AI-fueled infrastructure.
The outcome has been an elevation of storage’s role in the deployment of AI initiatives. In February, Everpure announced Purity DeepReduce, a similarity-based data reduction technology aimed at AI pipelines and backup workloads.
The company also noted in its most recent earnings report that FlashBlade//EXA, Everpure’s high-end artificial intelligence storage system, set a record on the SPECstorage Solution benchmark. Solutions such as these explain why Everpure intends to address the gap between infrastructure growth and data readiness.
“TheCUBE Research data shows that 68% of enterprise IT leaders identify data accessibility and movement, not model performance, as the primary barrier to scaling AI initiatives,” said Paul Nashawaty, principal analyst at theCUBE Research. “As AI infrastructure spending accelerates, organizations are realizing that competitive advantage will come from how efficiently they manage and operationalize data, making unified data platforms a central theme at Pure Accelerate.”
Don’t miss theCUBE’s coverage of Pure Accelerate, June 17. Plus, you can watch theCUBE’s exclusive content on-demand after the event.
We offer you various ways to watch theCUBE’s coverage of Pure Accelerate, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.
SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.
SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.
During theCUBE’s coverage of Pure Accelerate, company executives and industry experts will discuss the latest use cases and product announcements tied to Everpure’s enterprise storage strategy. The interviews will examine how the company is positioning storage as a foundation for AI, automation, cyber resilience and enterprise data intelligence.
(* Disclosure: TheCUBE is a paid media partner for the Pure Accelerate event. Neither Everpure, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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