Dell AI DATA PlatformDell AI DATA Platform

AI Data Platform

Dell AI Data Platform with NVIDIA: Full Throttle AI

Here's everything we're announcing this year at Dell Technologies World to make data into agentic AI-ready fuel across the Dell AI Data Platform with NVIDIA.
By   |  

Key takeaways: GPU-accelerated analytics on NVIDIA Blackwell. 6 TB/s Exascale throughput. NVIDIA certifications. This year’s Dell AI Data Platform with NVIDIA announcements are stacked — here’s the full rundown. Learn how Dell AI Factory with NVIDIA delivers a comprehensive and secure AI solution customizable for any business.

Every enterprise wants to be AI-first. Few have solved the hardest part: turning the data they already own into fuel their models can actually use. That’s the mission behind the Dell AI Data Platform with NVIDIA — and at Dell Technologies World, we’re showing what happens when that mission accelerates.

Unlike closed, single-vendor AI storage stacks that force you to rebuild around their architecture, the Dell AI Data Platform is deliberately open and modular. Open table formats. Open file formats. Best-of-breed engines you choose — not engines chosen for you. That’s the difference between a flexible platform and a proprietary silo.

Together, these capabilities give you a foundation designed for today’s most demanding AI workloads — without locking you into a single stack or slowing down innovation. This year’s announcements center on two themes: advancing the Dell AI Data Platform with NVIDIA so more of your data becomes AI-ready and enhancing our Dell Storage Engines so that data moves at the speed of your GPUs.

What’s new: Dell AI Data Platform announcements

The Dell AI Data Platform with NVIDIA is our blueprint for a modular AI data architecture — with data transformation, data engines and storage engines working together as a purpose-built stack. At Dell Technologies World, we’re introducing several key enhancements.

Dell AI Data Platform’s Data Orchestration Engine with MetadataIQ

We’re extending Dell AI Data Platform’s Data Orchestration Engine with a powerful new MetadataIQ integration across the Dell storage portfolio, beginning with PowerScale — the file engine within the Dell AI Data Platform with NVIDIA — and expanding to additional platforms in future releases.

This helps you:

    • Discover, index, label, enrich and transform raw unstructured data into governed, curated datasets at scale.
    • Accelerate the indexing of billions of unstructured files so more of your data becomes AI-ready, faster.
    • Simplify how data is prepared and orchestrated across large, complex environments spanning edge, core and cloud.

The result is a smarter, automated on-ramp from raw data to AI-ready fuel.

Dell AI Data Platform’s Data Analytics Engine – GPU Acceleration

We’re also supercharging the Dell Data Analytics Engine, powered by Starburst, with deep GPU acceleration to create a highly responsive data layer for agentic AI, Retrieval-Augmented Generation (RAG), real-time decisioning, and modern analytics workloads. By offloading heavy query and transformation tasks to GPUs, customers can achieve:

    • Up to 6x faster query performance on NVIDIA Blackwell GPUs today.¹
    • Dell adds NVIDIA Vera CPU support — bringing 3x faster query throughput for Starburst on Vera.
    • Faster processing for large, diverse datasets that power both classic data intensive agentic AI use cases.

These enhancements sit on top of an architecture that embraces open table and file formats — so you can adopt best-of-breed engines and frameworks, not wait for the next storage firmware release.

ObjectScale with Elastic and NVIDIA Omniverse support

Within the Dell AI Data Platform with NVIDIA, Dell ObjectScale — the object engine within the platform — plays a dual role: an industry-leading, highest performing object platform² and a foundation for advanced AI workflows. A key highlight this year is ObjectScale with Elastic and NVIDIA Omniverse support, bringing:

    • Scalable object storage for NVIDIA Omniverse libraries, from complex 3D assets to simulation data.
    • Semantic, natural-language asset search across massive repositories, powered by AI data services running natively on top of ObjectScale.

Dell AI Data Platform with NVIDIA Engine spotlight: Storage announcements

As the foundation of the Dell AI Data Platform, our Dell Storage Engines are designed to keep GPUs busy — not waiting on data. At Dell Technologies World, we’re expanding this foundation across Dell Exascale Storage, ObjectScale, PowerScale and the Services that bring it all to life.

Dell AI Data Platform with NVIDIA Engine spotlight: Exascale Storage for Extreme-Scale AI, HPC and demanding enterprise workloads

Dell Exascale Storage — the software-defined engine within the Dell AI Data Platform with NVIDIA — is purpose-built for organizations operating at the largest scales, delivering unmatched performance and readiness for AI-accelerated data access in expansive GPU cloud environments.

Key highlights include:

    • 4-in-1 storage solution: The only storage platform designed for extreme-scale AI, high-performance computing (HPC) and demanding enterprise workloads³ across file, object, parallel file system and now block storage on Dell PowerEdge.
    • Exceptional throughput: Delivers up to 6 TB/s per rack⁴ with 800Gb Ethernet connectivity, ensuring even the largest training and inference clusters remain fully utilized.
    • Seamlessly integrates performance, scale and data services to meet the demands of cutting-edge AI, HPC applications and demanding enterprise workloads.
    • Part of Dell PowerRack, a turnkey, rack-scale solution designed to simplify and accelerate deployment of integrated rack-scale systems across compute, networking and storage.

Dell AI Data Platform with NVIDIA Engine spotlight: ObjectScale for Fast S3 Object Storage

As AI datasets grow, object storage becomes the logical home for training data, checkpoints and long-term knowledge bases. Dell ObjectScale — the object engine within the Dell AI Data Platform with NVIDIA — is built for this role, with high performance, cloud-scale architecture and industry-leading cyber resilience.

New ObjectScale storage announcements include:

    • Palantir’s Ontology-driven platform leverages Dell ObjectScale and Dell PowerFlex to deliver secure, governed access to enterprise data, so your teams can focus on operational AI outcomes instead of plumbing — aligned with the Palantir + NVIDIA Sovereign AI OS Reference Architecture.
    • ObjectScale X7700 next-generation appliance: Completes our full object storage portfolio modernization with up to 45% more HDD capacity⁵ for AI data lakes and deep archives, improved rack-level performance and a disaggregated design that scales compute and capacity independently for lower TCO.
    • Planned 245 TB-class all-flash object storage: Provides early-mover access to low-latency S3 with over 3x more capacity per rack⁶ for future-ready scale and density.
    • Validated 40 GB/sec per-node read performance⁷ for software-defined ObjectScale: Supports extreme, concurrent AI workloads with 2x higher throughput than the closest competitor.⁸
    • Dell ObjectScale with Cloudera provides a future-ready storage platform optimized for AI and analytics, delivering trusted data access, high-performance analytics at scale, and a modern cloud-native storage foundation, with additional Cloudera certifications coming soon.

Dell AI Data Platform with NVIDIA Engine spotlight: PowerScale for AI performance

More than 1,500 customers already run GPU workloads on Dell PowerScale — the file engine within the Dell AI Data Platform with NVIDIA — our scale-out file system is engineered for AI performance. New highlights include:

    • PowerScale performance improvements: delivering software‑driven leadership with up to a 2x boost for large-scale clusters,9 while continued innovation further strengthens its unified file and object capabilities with up to 27% faster ingest, 62% faster retrieval and nearly 5x faster mass deletes for S3-based workloads10 — accelerating AI, backup and cloud‑native workloads on a single, enterprise‑grade system.
    • Enhanced data mobility powered by Smartsync: enabling multi‑site, provenance‑aware replication that strengthens enterprise resilience and governance by providing clear visibility into where data lives, how it moves and how it can be confidently protected and recovered at scale.
    • Dell AI Storage Innovation Hub: A multi-petabyte, all-flash PowerScale lab that lets customers and partners test real AI workflows and tuning before production.

Combined with the broader Dell AI Data Platform, PowerScale transforms scale-out storage into a true parallel performance engine for AI.

Expanded Dell services for the Dell AI Data Platform

Dell Services has helped thousands of customers transform AI ambitions into real-world outcomes across our storage and data engines. Now, we’re extending that expertise to the new Data Orchestration Engine, offering hands-on assistance to configure and operationalize orchestration pipelines, connect critical data sources and run turnkey pilots that deliver fast results.

Whether you’re preparing your data estate for AI ingestion, optimizing existing analytics or search deployment, or implementing the new orchestration layer, Dell Services provide a single, trusted partner to turn AI potential into measurable business outcomes, all within the Dell AI Data Platform with NVIDIA.

The foundation for what’s next

Every announcement we’ve shared today — from MetadataIQ to GPU-accelerated analytics, from Exascale throughput to ObjectScale density, from PowerScale parallel performance to hands-on Dell Services — is part of a single, deliberate architecture: the Dell AI Data Platform.

It’s how enterprises turn fragmented data into AI-ready fuel. It’s how Dell Storage Engines keep GPUs busy instead of waiting. And it’s how Dell is building the open, modular, highly responsive data foundation required for modern AI workloads — from analytics and RAG to real-time decisioning and agentic AI.

This is what’s next — and it’s already here. And if you’re ready to see how the Dell AI Data Platform works for your specific AI workflows, we’d love to show you a workshop designed to turn your AI ambitions into reality.

1Based on Dell internal analysis, May 2026.

2Based on Dell internal analysis of publicly available data as of Mar. 2025. Dell performance is based on large object read throughput per node and cluster configurations configured with ObjectScale XF960 and Ethernet networking. Actual results may vary.

3Based on publicly available documentation from leading enterprise storage vendors as of May 2026. Comparison refers to distinct file, object, block, and parallel‑file engines on one reusable hardware platform, excluding single‑engine multi‑protocol designs. Block availability in 1H CY2027.

4Based on internal analysis of sequential and random read I/O.  Actual results may vary.  Feb. 2026.

5Based on Dell comparison of maximum available storage capacity on planned ObjectScale X7700 versus previous-generation ECS 5000, May 2026. Actual results may vary.

6Support for 245 TB drives and an expanded drive count per node are targeted for an ObjectScale release in 2H 2026. Actual usable capacity and density may vary.

7Based on Dell analysis comparing ObjectScale 4.2 on PowerEdge R7725xd to ECS 3.8 on ECS EXF900 for object read performance, Sept. 2025. Actual results may vary.

8Based on Dell internal analysis of publicly available data as of Mar. 2025. Dell performance is based on large object read throughput per node and cluster configurations configured with ObjectScale XF960 and Ethernet networking. Actual results may vary.

9Based on Dell Internal Analysis of 32-node F710 cluster. May 2026. Actual results may vary

10Based on Dell Internal analysis of large-scale enterprise S3-based workloads. May 2026. Actual results may vary.

About the Author: David Noy

David Noy is a 25 year veteran of the storage and data management industry with deep, hands on expertise in data center infrastructure, enterprise and cloud data storage, and solutions for Artificial Intelligence. After more than a decade directing engineering organizations—and subsequent leadership of high impact product management and technical marketing teams—he has shaped flagship portfolios at Dell Technologies, NetApp, Veritas, Cohesity, and VAST Data. He has been the global executive leader for enterprise product lines recognized by Gartner as #1 in their category.
As Vice President of Product Management for Unstructured Data Solutions at Dell Technologies, David oversees the end to end strategy for enterprise, high performance computing, and artificial intelligence workloads. This includes responsibility for the Dell AI Data Platform which includes data engines and storage engines. His remit spans product conception, roadmap execution, and go to market alignment—delivering infrastructure that not only scales but also integrates advanced data management, cyber resilience, and hybrid cloud capabilities into a single, coherent platform.
Industry context
• Explosive growth of unstructured data: AI, edge telemetry, and rich media are driving compound annual growth >25 %, demanding file/object architectures that scale linearly and economically.
• Hybrid and multi cloud deployments: Enterprises now treat cloud as an operating model, not a destination; seamless data mobility and consistent policy enforcement are table stakes.
• AI and GPU acceleration: Modern AI pipelines require parallel file and object stores that can saturate the latest high speed networks while guaranteeing metadata efficiency.
• Cyber resilience & compliance: Immutable snapshots, object lock, and zero trust architectures have become mandatory in the face of ransomware and evolving data sovereignty laws.
David’s track record of shipping innovative, enterprise grade solutions at global scale directly aligns with these trends, positioning him to lead the next wave of file and object innovation that accelerates customers’ digital transformation and AI ambitions—on premises, at the edge, and in the cloud.