As artificial intelligence and agentic systems transform the way that businesses operate, data platforms have taken on a more significant role beyond mere operational infrastructure. They have emerged as the organizing focus of the modern enterprise, delivering a cohesive, scalable AI data platform system that enables the storing, processing and management of data across key services and applications.

Two of the major players in this transformation are Dell Technologies Inc. and Nvidia Corp. Both are building unified environments for data ingestion, governance and analytics, and SiliconANGLE’s livestreaming studio theCUBE will bring together experts from the two companies and their partners to examine how AI data platforms are reshaping the modern enterprise.

“As organizations look to rationalize the ‘ROI of AI,’ they must be more selective in what and where to build these agentic applications,” said Rob Strechay, principal analyst at theCUBE Research. “This will often require different platforms to achieve the right total cost of ownership, not to mention space and power constraints. It will be great to unpack a lot of these various pieces with the folks on the front lines delivering these solutions to organizations, Dell and Nvidia.”

During the “Dell AI Data Platform” event on October 21, industry insiders will explore the increasingly important role of AI data platforms. Tune in for exclusive insights and analysis from Dell and Nvidia executives, along with their partners, as they turn raw data into pure intelligence. Learn how Dell and Nvidia are building the AI pipeline with real-time search, advanced data engines and robust security. (* Disclosure below.)

PowerScale supports AI data platform

The foundation of Dell’s AI pipeline is built on PowerScale, the company’s high-performance, network-attached storage solution, and ObjectScale, Dell’s platform that delivers public cloud-like capabilities on private cloud infrastructure. These storage engines provide resilient, high-performance platforms validated with Nvidia.

Dell’s collaboration with Nvidia is designed to address data access bottlenecks, which can limit the throughput and scalability of compute-intensive AI workloads. Last year, the two firms announced a joint initiative that made Dell PowerScale the world’s first Ethernet-based storage offering to be certified on the Nvidia DGX SuperPOD platform.

This has enabled users to leverage PowerScale and Ethernet technology for AI training, checkpointing and inferencing. It is a prime example of Dell’s interest in allowing customers to leverage its engines for maximum flexibility.

“PowerScale is one of the four platforms of Dell’s AI storage engine,” said Darren Miller, technical staff member for unstructured data storage at Dell, during a recent interview with theCUBE. “When you think about Dell’s data management approach, it’s really an approach of three pillars of place, protect and process. What that means is we help you place your data on high-performance, powerful storage systems, and then that allows these different AI workflows to then process that data.”

ObjectScale delivers flexibility

To facilitate this flexibility, Dell has made a series of enhancements to its ObjectScale offering in the past year. In April, the company expanded ObjectScale’s capacity to eight times greater density on the XF960 appliance than previous all-flash systems.

Dell followed that up with the announcement in May that ObjectScale would support more compact configurations for reliable access to quality data. This included an integration with Nvidia BlueField-3 and Spectrum-4 networking to support performance gains, lower latency and less CPU overhead.

Looking forward, Dell is anticipating shifts from separate stacks to unified platforms with common control planes, according to theCUBE Research analysts. Agentic AI will power a shift from static data access to intelligent orchestration, with real-time platform management across SQL, Spark, AI and vector systems.

Dell’s collaboration with Nvidia and these shifts illustrate how data platforms are evolving rapidly into a new paradigm, marked by openness and flexible integration.

“We’re seeing a new class of storage infrastructure emerge to support the needs of these AI workloads,” said Matheen Raza, product marketing lead for enterprise AI at Nvidia, in a recent conversation with theCUBE. “We work with our partners, such as Dell, to build solutions that deliver … these AI pipelines for these enterprise AI workloads.”

TheCUBE event livestream

Don’t miss the “Dell AI Data Platform” event on Oct. 21. Plus, you can watch the exclusive content on-demand after the event.

How to watch theCUBE interviews

We offer you various ways to watch the “Dell AI Data Platform” event, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE podcasts

SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.

SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.

Guests

During the “Dell AI Data Platform” event, don’t miss insights from Dell executives Travis Vigil, Varun Chhabra, Anahad Dhillon and Vrashank Jain, as well as Kevin Deierling, senior vice president of networking at Nvidia; Ajay Nair, general manager of platform engineering at Elastic; and Jitender Aswani, SVP of engineering at Starburst.

(* Disclosure: TheCUBE is a paid media partner for the “Dell AI Data Platform” event. Neither Dell Technologies Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Image: SiliconANGLE