Dell Technologies (NYSE: DELL) has unveiled its Dell AI Data Platform with NVIDIA, a next-generation solution designed to help enterprises discover, prepare, and activate data for AI at unprecedented scale. The platform addresses a critical bottleneck: data that is siloed, messy, or too slow to fuel AI models, which often stalls enterprise AI initiatives.
“Curating data for AI at scale is the number one challenge for enterprises moving pilots into production,” said Travis Vigil, SVP of ISG Product Management at Dell Technologies. “The Dell AI Data Platform with NVIDIA automates the data lifecycle, delivers high-speed pipelines, and allows organizations to deploy AI faster, scale confidently, and see measurable ROI.”
Why It Matters
As AI transitions from assistive tools to autonomous, agentic systems, access to clean, governed, and high-performance data is critical. Many enterprises struggle because historical datasets remain trapped in silos, lack context, and require manual preparation. Dell’s platform solves this problem by combining enterprise-grade storage, GPU acceleration, and AI-native orchestration. Early adopters report up to 12x faster vector indexing, 3x faster data processing, and 19x faster time-to-first-token compared with traditional approaches.
Automating the AI Data Lifecycle
At the core of the platform is the Dell Data Orchestration Engine, powered by Dell’s recent Dataloop acquisition, which automates discovery, labeling, enrichment, and transformation of structured, unstructured, and multimodal data into AI-ready datasets. A low-code/no-code approach, combined with human-in-the-loop workflows and active learning, ensures datasets remain high-quality and fully governed.
The Data Orchestration Engine Marketplace allows enterprises to deploy pre-built NVIDIA microservices, AI blueprints, and over 200 models and templates—reducing the time and cost of building production-grade data workflows from scratch.
GPU-Accelerated Analytics and Autonomous AI
The platform leverages NVIDIA RTX PRO™ Blackwell Server GPUs and CUDA-X libraries for structured and unstructured data processing. Accelerated SQL queries are 3x faster, and vector indexing is 12x faster, enabling high-performance AI applications and autonomous agents that rely on massive, multimodal datasets.
Dell also introduces the AI Assistant within the Analytics Engine, allowing business users to query and visualize governed datasets using natural language, democratizing data access and speeding decision-making.
Extreme-Scale Storage for AI Workloads
Storage bottlenecks often leave GPUs idle in AI pipelines. Dell addresses this with:
- Dell Lightning File System (LFS): A parallel file system delivering up to 150 GB/s per rack, 20x faster than traditional flash-only systems, keeping GPUs fully utilized.
- Dell Exascale Storage: A 3-in-1 solution supporting file, object, and parallel storage on PowerEdge servers with read performance up to 6TB/s per rack, ideal for HPC and AI workloads.
- CMX Context Memory Storage: Offloads GPU KV cache to shared storage, improving utilization for long-context AI agent workloads.
Performance testing shows PowerScale with pNFS delivers 6x faster performance for large files in enterprise AI environments versus NFSv3, ensuring continuous GPU feeding and reducing bottlenecks.
A Proven Path to ROI
The Dell AI Data Platform is part of the Dell AI Factory with NVIDIA, now celebrating its two-year anniversary. More than 4,000 customers have deployed the full-stack solution, with early adopters achieving up to 2.6x ROI within the first year.
“Autonomous AI requires fundamentally different data infrastructure,” said Jason Hardy, VP of Storage Technologies at NVIDIA. “Dell’s enterprise expertise combined with NVIDIA’s AI acceleration creates a foundation organizations need to scale AI confidently.”
Availability
- Data Orchestration Engine & Marketplace: Q1 CY26
- Dell & NVIDIA Blueprints: Available now
- AI Assistant for Analytics Engine: 1H CY26
- GPU-Accelerated Data Processing: 2H CY26
- Lightning File System: April 2026
- Exascale Storage: Early 2H CY26
- NVIDIA support will roll out throughout the year
Dell’s platform combines extreme-scale storage, AI-native data orchestration, and GPU-optimized acceleration, positioning enterprises to move from AI pilots to full production at scale while unlocking autonomous AI capabilities.
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