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Dell Expands AI Data Platform to Boost Enterprise AI
Dell Technologies, the world leader in AI infrastructure, has announced major enhancements to its Dell AI Data Platform, designed to help organizations turn distributed, siloed data into faster, more reliable AI insights.
As AI adoption grows across industries, enterprises face the challenge of managing massive, fragmented datasets. Dell’s platform addresses this by providing an open, modular foundation that separates storage from processing, removing bottlenecks and enabling workloads such as AI training, fine-tuning, retrieval-augmented generation (RAG), and inferencing.
The platform’s core capabilities include high-performance storage engines, intelligent data engines, built-in cyber resiliency, and comprehensive data management services. Storage engines like Dell PowerScale and Dell ObjectScale deliver scalable, secure, multi-protocol access for demanding AI workloads. Recent updates, including integration with NVIDIA GB200 and GB300 NVL72, optimize performance, reduce rack space, and lower power consumption. ObjectScale now supports S3 over RDMA, boosting throughput by up to 230% while reducing latency and CPU usage.
Dell’s data engines streamline real-time AI analysis and search. The Data Search Engine, built with Elastic, enables semantic search and RAG applications across billions of files, while the Data Analytics Engine, developed with Starburst, allows seamless querying of spreadsheets, databases, and cloud warehouses, transforming raw data into actionable business insights. Integration with NVIDIA cuVS adds GPU-accelerated hybrid vector search, making AI search faster and more efficient.
Dell’s data engines streamline real-time AI analysis and search. The Data Search Engine, built with Elastic, enables semantic search and RAG applications across billions of files, while the Data Analytics Engine, developed with Starburst, allows seamless querying of spreadsheets, databases, and cloud warehouses, transforming raw data into actionable business insights. Integration with NVIDIA cuVS adds GPU-accelerated hybrid vector search, making AI search faster and more efficient.
Executives from Dell and partner companies highlight the platform’s ability to accelerate AI deployment across industries. From predictive maintenance in manufacturing to real-time diagnostics in healthcare, Dell AI Data Platform empowers enterprises to scale AI projects with lower risk and greater speed.
The updates are being rolled out in stages: PowerScale integrations are available now, ObjectScale S3 over RDMA will enter tech preview in December 2025, software updates for ObjectScale will release the same month, and new capabilities for data analytics and search engines will be available in early 2026.
The updates are being rolled out in stages: PowerScale integrations are available now, ObjectScale S3 over RDMA will enter tech preview in December 2025, software updates for ObjectScale will release the same month, and new capabilities for data analytics and search engines will be available in early 2026.
FAQ:
Q1: What is the Dell AI Data Platform?
A1: It’s Dell’s modular platform that connects and manages distributed enterprise data, enabling faster AI model training, inference, and analytics.
Q2: How does Dell’s partnership with NVIDIA enhance AI performance?
A2: Through integration with NVIDIA’s AI Data Platform reference design, Dell provides GPU acceleration, improved throughput, and simplified AI data workflows.
Q3: What are the benefits of Dell ObjectScale and PowerScale?
A3: PowerScale optimizes NAS performance for AI workloads, while ObjectScale delivers scalable object storage with improved latency and throughput.
Q4: When will the new Dell AI Data Platform updates be available?
A4: Most features roll out between December 2025 and mid-2026, including the new data engines and NVIDIA integrations.
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