Dell AI Data Platform advancements as enterprise AI adoption surges and data grows

Dell Technologies, the world’s No. 1 provider of AI infrastructure,1 announces Dell AI Data Platform advancements designed to help enterprises turn distributed, siloed data into faster, more reliable AI outcomes.

Why it matters

As enterprise AI adoption surges and data grows, organizations need a platform that can securely transform distributed, siloed data into actionable insights. The Dell AI Data Platform, a critical component of the Dell AI Factory, delivers an open, modular foundation to create value from scattered data silos. By decoupling data storage from processing, it eliminates bottlenecks and provides the flexibility needed for AI workloads like training, fine-tuning, retrieval-augmented generation (RAG) or inferencing.

Dell Technologies has announced major advancements to its Dell AI Data Platform, introducing new capabilities designed to help enterprises transform distributed and siloed data into faster, more reliable AI outcomes. The enhancements, developed in collaboration with NVIDIA, Elastic and Starburst, aim to simplify data complexity, improve scalability and enable real-time AI insights across industries.

Story Highlights

Dell AI Data Platform advancements help customers break down data silos to unlock deeper business insights and accelerate AI outcomes

Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform’s storage engines, deliver enhanced performance and scalability for demanding AI workloads

Deepened collaborations with NVIDIA, Elastic and Starburst expand Dell data engines capabilities, enabling faster, real-time insights from structured and unstructured data

Data management focus

As AI adoption within enterprises continues to rise and data volumes increase, organisations face a growing need to convert distributed and unstructured data into actionable insights securely and efficiently.

The Dell AI Data Platform is structured as a modular system that helps to bridge gaps between data silos and provides the flexibility required for AI workloads, including training, fine-tuning, retrieval-augmented generation (RAG), and inferencing efforts.

A core part of the Dell AI Factory, the platform is integrated with the NVIDIA AI Data Platform reference design and is comprised of four main components: storage engines, data engines, built-in cyber resiliency, and data management services. Dell states that these building blocks are intended to create a scalable foundation for AI-driven objectives in enterprise environments.

Storage engine enhancements

Dell PowerScale and Dell ObjectScale form the storage engine layer of the Dell AI Data Platform. According to Dell, PowerScale delivers network-attached storage (NAS) with a focus on performance and scalability for AI applications.

The introduction of NVIDIA GB200 and GB300 NVL72 integration, alongside new software updates, aims to simplify performance management at scale while securing compatibility across a wide application stack. PowerScale F710 has achieved NVIDIA Cloud Partner certification and reportedly provides significant improvements in density and efficiency, including up to 5 times less rack space, 88% fewer network switches, and as much as 72% lower power consumption compared to competing solutions. 

By - Aaradhay Sharma