Dell Expands AI Data Platform to Help Enterprises Turn Siloed Data into Real AI Outcomes

One of the biggest challenges that enterprises face when they scale their AI initiatives is fragmented, siloed data. Dell Technologies is tackling that problem head-on with advancements to its AI Data Platform designed to unify data across environments and turn it into meaningful intelligence. The updates improve scalability, performance, and governance, helping organizations move from experimentation to production more confidently.

At the heart of this are Dell PowerScale and Dell ObjectScale, the platform’s core storage engines. PowerScale provides the high-performance NAS environment that AI workloads depend on, while ObjectScale delivers scalable, S3-native object storage for massive data volumes. Together, they give enterprises consistent, low-latency access to data across training, fine-tuning, and inferencing stages.

The latest PowerScale integration with NVIDIA GB200 and GB300 NVL72 architectures enhances GPU efficiency and simplifies management at scale. Meanwhile, ObjectScale is gaining a boost in performance and flexibility, most notably through a tech preview of S3 over RDMA, which promises higher throughput and lower latency for data-heavy AI operations. Dell has also introduced improved small-object performance and deeper AWS S3 integration to make data movement and compression more efficient.

Varun Chhabra, SVP of ISG Product Marketing at Dell Technologies, told ChannelE2E these advancements were built to help both enterprises and partners unlock new value from their data.

“The Dell AI Data Platform is a unified, turnkey solution that simplifies the complexities of managing the entire data lifecycle,” said Chhabra. “Its open, flexible, and modular architecture empowers channel partners to deliver greater value to enterprise customers by breaking down data silos, identifying quality data for AI workloads, and enabling seamless integration across environments.”

He added that this unified design allows partners to expand their role in AI-driven transformation.

“For partners building AI services or driving data modernization, this platform provides a foundation to offer managed services, deployment capabilities, and consulting on advanced use cases like data lakehouses or semantic search,” Chhabra explained. “By using this comprehensive solution, partners can position themselves as trusted advisors, delivering end-to-end lifecycle solutions that address real-world challenges in enterprise AI adoption.”

Expanding the Ecosystem Through Strategic Collaboration

Dell has also expanded its data engine capabilities - specialized tools that help organizations organize, query, and activate data in real time. Developed in collaboration with Elastic and Starburst, these engines bridge structured and unstructured data to drive intelligent discovery and analytics. The new Data Search Engine allows teams to search billions of files through metadata-rich queries, supporting workflows like retrieval-augmented generation (RAG) and generative AI. The Data Analytics Engine goes a step further, connecting spreadsheets, databases, and cloud warehouses while using an “agentic” layer powered by large language models to automate insights and embed AI directly into SQL workflows.

Dell’s deeper alignment with NVIDIA, Elastic, and Starburst also extends to its partner ecosystem. “Our collaboration with NVIDIA, Elastic, and Starburst enhances the Dell AI Data Platform’s ability to serve as a unified, turnkey solution for integrated AI deployments,” said Chhabra. “These partnerships equip channel partners with advanced tools to build, scale, and manage comprehensive AI solutions. By offering this unified platform, partners can simplify AI adoption for their customers, offering deployment, managed services, and consulting as part of a seamless experience.”

This broader ecosystem gives partners a competitive edge - allowing them to package Dell’s AI infrastructure, data management, and analytics capabilities into repeatable solutions that accelerate enterprise adoption. With GPU-accelerated search powered by NVIDIA cuVS, hybrid search capabilities, and built-in data governance, partners can offer customers scalable, secure, and compliant AI deployments that rival hyperscaler environments while maintaining control over data locality and sovereignty.

Building Partner Confidence and Capability

To support its growing partner base, Dell is rolling out new enablement and incentive programs designed to help partners position the AI Data Platform effectively.

“We’re investing in robust enablement programs, including in-depth technical training, hands-on workshops, and educational materials that highlight the platform’s unified, turnkey capabilities,” said Chhabra. “Tailored incentives and alignment with Dell’s AI strategy further support partner success, helping them differentiate the platform from other offerings.”

Chhabra emphasized that the goal is not only to expand partner capability but also to strengthen trust. “Our goal is to ensure partners are fully equipped to guide customers through their AI journeys with confidence and clarity,” he said. “We want them to lead with outcomes, not complexity - helping customers harness the full potential of their data while maintaining control, security, and cost efficiency.”

The updates make Dell’s AI Data Platform less of an infrastructure refresh and more of a roadmap for how enterprises and partners can actually operationalize AI. It’s built for the way data really moves across organizations - fragmented, growing, and constantly shifting - and turns that complexity into something usable. With its modular architecture, open integrations, and ecosystem depth, Dell is building a foundation that feels grounded in how AI gets done in the real world: flexible enough to adapt, and practical enough to deliver results.