TLDR: Dell Technologies has unveiled significant advancements to its Dell AI Data Platform, a core component of the Dell AI Factory, aimed at helping enterprises transform disparate, siloed data into faster, more reliable AI outcomes. These enhancements include improved performance and scalability for AI workloads through Dell PowerScale and Dell ObjectScale, alongside deepened strategic collaborations with industry leaders like NVIDIA, Elastic, and Starburst. The platform is designed to support the entire AI lifecycle, from data ingestion and transformation to advanced inferencing and retrieval-augmented generation (RAG).
ROUND ROCK, Texas – October 21, 2025 – Dell Technologies (NYSE: DELL), a leading provider of AI infrastructure, today announced substantial advancements to its Dell AI Data Platform. These updates, integral to the broader Dell AI Factory initiative, are engineered to empower enterprises to harness their vast and often fragmented data landscapes, translating them into accelerated and more dependable artificial intelligence outcomes.
The challenge for modern enterprises lies in the sheer volume, rapid growth, and predominantly unstructured nature of their data, much of which remains untapped for generative AI applications. To unlock this latent value, organizations require robust infrastructure that can streamline data preparation, unify access across diverse silos, and deliver end-to-end enterprise-grade performance. The latest enhancements to the Dell AI Data Platform directly address these needs by improving unstructured data ingestion, transformation, retrieval, and compute performance, thereby streamlining AI development and deployment.
“The key to unlocking the full potential of AI is breaking down silos and simplifying access to corporate data,” stated Arthur Lewis, President of the Infrastructure Solutions Group (ISG) at Dell Technologies. “Collaborating with market leaders like NVIDIA and Elastic to enhance the Dell AI Data Platform will help organizations accelerate innovation and scale AI with confidence.”
The Dell AI Data Platform provides an open, modular foundation that decouples data storage from processing, effectively eliminating bottlenecks and offering the flexibility essential for demanding AI workloads such as training, fine-tuning, retrieval-augmented generation (RAG), and inferencing. The platform is built upon four core building blocks: specialized storage engines for intelligent data placement and seamless movement, powerful data engines to convert data into actionable insights, integrated cyber resiliency, and comprehensive data management services.
Performance for AI workloads sees a significant boost through Dell PowerScale and Dell ObjectScale, the platform’s dedicated storage engines. Dell PowerScale delivers Network-Attached Storage (NAS) simplicity combined with parallel performance, crucial for AI training, fine-tuning, and RAG pipelines. New integrations with NVIDIA GB200 and GB300 NVL72 are now available, with the PowerScale F710 having achieved NVIDIA Cloud Partner (NCP) certification for high-performance storage. Dell ObjectScale will introduce S3 over RDMA in a Tech Preview in December 2025, alongside general software updates.
Strategic collaborations are central to these advancements. The platform is integrated with the NVIDIA AI Data Platform reference design, offering a validated, GPU-accelerated solution that combines storage, data, compute, networking, and AI software. The Dell PowerEdge R7725 server, equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, is set to be the first 2U server platform to deliver this NVIDIA AI Data Platform reference architecture. Justin Boitano, Vice President of Corporate AI at NVIDIA, emphasized, “Companies around the world need an infrastructure that handles the growing scale and complexity of AI workloads.”
A new unstructured data engine, developed in collaboration with open-source Search AI leader Elastic, expands the platform’s capabilities. This engine will provide real-time, secure access to large-scale unstructured datasets for inferencing, analytics, and intelligent search, offering advanced vector search, semantic retrieval, and hybrid keyword search capabilities, all leveraging built-in GPU acceleration. Ken Exner, Chief Product Officer at Elastic, noted, “Fast, accurate, and context-aware access to unstructured data is key to scaling enterprise AI.”
Furthermore, an expanded collaboration with Starburst unites its data federation capabilities with Dell’s AI Data Platform, enabling organizations to unlock insights from data residing anywhere. Justin Borgman, CEO of Starburst, affirmed, “Access to all of your data is the foundation for enterprise AI success.”
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Looking ahead, Dell has outlined several upcoming releases: Dell ObjectScale S3 over RDMA and software updates are slated for December 2025. The first release of the Dell Data Analytics Engine Agentic Layer and the MCP Server for Dell Data Analytics Engine are expected in February 2026, with the Data Search Engine in the Dell AI Data Platform anticipated in the first half of 2026.
