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Everpure, formerly Pure Storage, has launched two products designed to make enterprise data AI-ready. Everpure Data Stream automates data preparation using GPU-accelerated pipelines, reducing processing time from months to minutes. Everpure Data Intelligence, based on technology from its May 2026 acquisition of 1Touch, discovers and classifies data across enterprises using a universal data relationship graph. The shift reflects broader industry challenges. An IDC survey from June 2026 found that 94% of IT leaders cite data quality as the primary factor in AI project success. Many enterprises face idle GPU clusters waiting on poorly prepared data. Global external storage vendor revenue reached $9.2 billion in Q1 2026, up 22.7% year over year, driven largely by AI-focused platform demand.

Why AI-ready data is the real advantage. Published thu 9 Jul 2026 // 16:00 UTC Partner Content: Everpure Presents: NVIDIA's Kevin Deierling on the"Why" behind Data Stream Many ambitious enterprise AI projects stall before they ever reach production, and according to NVIDIA's Kevin Deierling, the reason is not what most IT leaders expect. For more stories behind the IT headlines watch Everpure's podcast, The Data Wire. "In almost every environment we walk into, the compute works," says Deierling, senior vice president of networking at NVIDIA. "The GPUs are here, the factory runs - but the data hasn't been refined. The fuel isn't ready." In this new episode of The Data Wire, Everpure's Shawn Rosemarin sits down with Deierling for a practical conversation on what it takes to make AI work at scale inside the enterprise. Rather than dwelling on model architectures or GPU counts, the pair examine the problem underneath almost every high-profile AI initiative: turning fragmented, ungoverned information into what they call AI-ready data. "The industry talks a lot about GPUs and models," Rosemarin notes in the episode's opening minutes. "But the uncomfortable truth is that many of these projects will never make it into production - not because the models don't work, but because the data underneath them was never ready." That theme of data readiness as the real bottleneck became the backdrop for Everpure's Data Stream announcement at Accelerate 2026. Everpure Data Stream is a new capability built on the NVIDIA AI Data Platform reference design, intended to help enterprises discover, transform, and deliver the right data to AI workloads without months of manual pipeline work. If the keynote unveiled the "what" of Data Stream on stage in Las Vegas, this conversation with Deierling and Rosemarin explores the "why" behind it. Across roughly 20 minutes, the two dig into: * Why the move from single-shot inference to agentic AI has changed what storage and networking must do to keep GPUs fed. * How to think about an AI factory, where "AI is the process and data is the raw material," and why that factory fails when the raw material is stale, conflicting, or poorly governed. * Why refined, governed AI-ready data becomes a "durable advantage" competitors cannot buy off the shelf, and why Deierling believes it belongs on the board agenda. "Once you have refined, governed AI data, that's a durable advantage ," Deierling argues. "It's your data, shaped around your business context. Your competitors can't just buy that from a vendor." Data Stream is Everpure's answer to that challenge. Announced on the Accelerate mainstage, the software extends Everpure's storage platform with GPU-accelerated pipelines for ingesting, classifying, contextualizing, and delivering enterprise data to AI models, while enforcing the security and governance controls large organizations require. It builds on Everpure's Data Intelligence capabilities, which discover and map data relationships at the source so AI systems can grasp not just the content of information, but the context around it. "Building the next generation of AI factories requires a data architecture that seamlessly bridges secure, governed enterprise data with accelerated computing," said Jason Hardy, vice president of storage technology at NVIDIA, in the Data Stream launch. "Everpure's integration with the NVIDIA AI Data Platform provides the infrastructure foundation organizations need to scale from AI experimentation to full-production intelligence." For technology leaders who watched the Accelerate keynotes and want a deeper look at the thinking behind Everpure's NVIDIA partnership, this podcast is the recommended next stop. The format leans toward candid strategy rather than product briefing, covering why AI projects stall, what "good" looks like in an AI data pipeline, and how enterprises can move from pilots to AI factories without starving their GPUs. The full episode of The Data Wire featuring Kevin Deierling and Shawn Rosemarin is available now on YouTube and Spotify. Contributed by Everpure.

Supermicro has launched Kubernetes Edge AI appliances in collaboration with Red Hat and Everpure. The turnkey solution combines Supermicro's edge computing infrastructure with Red Hat OpenShift and Portworx by Everpure's data management platform. The appliances come preloaded with software and hardware, designed to simplify deployment and management of AI applications across distributed edge environments. Portworx provides Kubernetes-native storage that aggregates local storage on Supermicro's edge servers into a self-healing data platform. The solution enables enterprises to run AI inference at edge locations with enterprise-grade data services. It operates autonomously during network outages and can scale to thousands of sites without requiring on-site IT expertise.