Solve Data Readiness and Guarantee AI Performance with Everpure

Walking the floor at NVIDIA GTC 2026 this week, the energy around the next generation of AI is palpable. However, in enterprise AI development cycles, we’re still seeing a stark reality: getting data “AI-ready” remains the ultimate bottleneck.

In enterprise AI, we are witnessing a frustrating industry-wide reality: organizations are spending millions on AI infrastructure, yet the vast majority of their initiatives never see the light of day.

Recent data from IDC confirms this, revealing that a staggering 56% of AI proof-of-concept projects fail to reach production. When you dig into why these projects stall, the answer is almost never a lack of GPU power. It’s a lack of data readiness. In fact, 94% of organizations tell IDC that data quality and access are the top hurdles to their AI success.

The harsh truth is that many enterprises are treating AI as “just another workload.” They do not apply the same rigorous standards used by their infrastructure supporting Tier 1 enterprise applications. AI infrastructure doesn’t have the same stringent standards around governance, resiliency, or manageability. Secondly, infrastructure for enterprise AI is about more than just throughput and speed. AI should be treated as a Tier 1 workload and as such deserves access to the same enterprise data management, data services, and ease of use. Managing complex AI data pipelines to make data AI-ready is also not something that can be solved with just raw horsepower, but requires software integrated with AI. The reality? Expensive data science teams spend 80% of their time manually moving and preparing data, and multi-million-dollar GPU clusters sit idle waiting to be fed.

To achieve real business outcomes and a positive return on your AI investments, you need an infrastructure strategy that eliminates the financial risk and technical complexity of scaling and completely automates the flow of data.

At Everpure, we believe that moving from pilot to production requires guaranteed performance and frictionless data pipelines and an intelligent data layer that is context-aware and capable of different workloads/requirements. That’s why we’re radically simplifying the AI infrastructure stack with three major announcements: 

1. Fueling enterprise AI workloads with the industry’s first SLA-backed guarantee for performance and cost

We’re moving beyond infrastructure promises to guaranteed performance. We’re extending our Evergreen//One™ for AI offering to include FlashBlade//EXA™ to cover the most demanding AI workloads at massive scale. This extends Evergreen//One for AI into a complete AI performance foundation covering the full range of AI workload needs. Enterprises can now scale seamlessly with data growth, paying only for what they use, while maintaining an SLA-backed guarantee for consistent performance. When cost and performance are contractually assured, AI stops being an experiment and becomes a reality. Having FlashBlade^® as the foundation and Purity as the one common operating system across all Everpure products enables a seamless way for customers to enjoy the benefits of Evergreen//One and include a Tier 1 enterprise experience and cloud-like service. This offering dramatically disrupts the economics around AI infrastructure purchase.

2. Everpure Data Stream Beta: Automating the pipeline

Data preparation shouldn’t consume 80% of your project timeline. To help enterprises prepare their data for AI-ready pipelines, we’ve announced the Everpure Data Stream, which enables organizations to create a direct, automated pipeline from data ingestion to inference. It curates, governs, and feeds AI-ready data to these autonomous agents in real time, eliminating the complex and disjointed experience to prepare data for AI consumption. The offering is currently in beta and will become generally available later this year. Visit the Data Stream page to request access to the beta of Everpure Data Stream. 

3. Frictionless deployments with NVIDIA, Cisco, and Supermicro

Deploying capable AI infrastructure requires confidence and deep ecosystem collaboration.  Integrated reference architectures help give customers peace of mind and a seamless deployment experience. We’re excited to introduce the Everpure AI Data Platform (AIDP), based on the NVIDIA reference design.  It is our intention to create a seamless solution for customers looking for fully validated, appliance-like offerings with our key partners in the ecosystem. 

At GTC 2026, we’re extending the ecosystem collaboration on the AIDP with Supermicro. This newly announced collaboration is for a compact AI design, powered by Supermicro’s NVIDIA-Certified Systems featuring the NVIDIA RTX PRO 6000 Blackwell Server Edition, that lowers the barrier to entry, allowing commercial teams to launch AI initiatives without the complexity or cost of a full-scale data center overhaul.

Additionally, we will extend our longstanding partnership with Cisco, built through FlashStack and expanded with NVIDIA through FlashStack for AI, to deliver a seamless, appliance-like experience that brings together Data Stream, FlashBlade, and RTX PRO Servers  from Cisco based on NVIDIA reference architectures.

The future is AI-ready data platforms

Success in the AI-driven enterprise requires a strategy rooted in continuous data optimization, not a one-time infrastructure upgrade to the fastest GPU/computing infrastructure. 

By combining the benchmark-proven, guaranteed performance of Evergreen//One with the automated data pipelines of Data Stream, Everpure is giving enterprises the exact tools they need to break out of AI pilot purgatory. We’re making data management effortless, so you can focus on delivering the measurable business outcomes your organization demands from AI investments.