NVIDIA Logo
Data Direct Networks

NVIDIA CHOOSES DDN FOR FLAGSHIP AI SUPERCOMPUTER

NVIDIA GPU 1999

Since NVIDIA’s invention of the GPU in 1999, the company has set new standards.

These standards include computing innovation, deep-learning and data analytics.

With the introduction of the NVIDIA DGX™ A100, NVIDIA raised the bar once more.

By consolidating the power of an entire data center into a single platform, NVIDIA is revolutionizing how complex machine learning workflows and AI models are developed and deployed in an enterprise.

NVIDIA Selene DDN

This computing marvel also led to the creation of Selene.

Selene is the world’s seventh fastest computer in total performance and the world’s fastest commercially-available system - the NVIDIA DGX SuperPOD™ Solution.

DGX A100 systems are being used to fight COVID-19, fuel autonomous vehicles, develop superhuman language understanding, and transform almost every facet of business with AI.

Accelerating AI at Scale with Selene DGXA100 SuperPOD and DDN Parallel File System Storage

Learn about the behavior of data-intensive workloads on the Selene DGXA100 SuperPOD deployment and DDN’s A3I storage.

We’ll showcase the impact of using a parallel file system to optimize the data path and maximize GPU utilization for high-performance AI workloads. Presented by P. Kashinkunti (NVIDIA) W. Beaudin (DDN).

"Having a partner who stands shoulder-to-shoulder with our engineers to solve the big challenges is where the true value comes from. We’re definitely pushing the boundaries of what’s possible today with DDN while exploring new frontiers for the future."

~ Michael Houston

Chief Architect - AI Systems

DDN AND NVIDIA PRESENT

HOW TO BUILD AN AI SUPERCOMPUTER IN WEEKS

Featuring NVIDIA’s DGX SuperPOD™ Solution with DDN Technology.

LUG 2021

2021 LUSTRE USER GROUP

UF Information Technology (UFIT) hosted the 2021 Lustre User Group (LUG) conference in partnership with Open Scalable File Systems (OpenSFS) and Platinum Sponsor, DDN.

The annual LUG conference is the high performance computing industry’s primary venue for discussion on the open source Lustre file system and other technologies. The conference focuses on the latest Lustre developments and allows attendees to network with peers.

University of Florida

Using Parallel File Systems for AI - Does it Work?

Julie Bernauer, Director of Deep Learning Systems Engineering at NVIDIA, talks about using a parallel file system for AI workloads and lessons learned along the way. She discusses what it took to build a flexible, simple solution for both cluster admins and users.

Accelerating AI at Scale with Selene DGX A100 SuperPOD and Lustre

Julie Bernauer, Director of Deep Learning Systems Engineering at NVIDIA, and Prethvi Kashinkunti, Deep Learning Systems Engineer at NVIDIA, discuss NVIDIA's Selene Supercomputer and the how and why behind building such an advanced system.

DDN NVIDIA Success Story
NVIDIA Logo

World’s most advanced system drives AI at-scale discovery, development, and deployment breakthroughs

The Challenge

01

Extremely fast storage needed to fuel the exponential growth of AI models, drive increasing demand for higher data rates per GPU and I/O bandwidth

02

High degrees of parallel access to small and large datasets necessitated balanced storage performance

03

Storage architecture flexibility with easy horizontal scalability required for incremental and on-demand data center expansion

The Solution

01

DDN’s AI400X delivers scalable petabytes of powerful storage for NVIDIA Selene and NVIDIA DGX SuperPOD

02

Extremely fast storage needed to fuel the exponential growth of AI models, drive increasing demand for higher data rates per GPU and I/O bandwidth

03

High degrees of parallel access to small and large datasets necessitated balanced storage performance

The Benefits

01

Dramatic increase in AI workload performance enables organizations to iterate faster and boost data science productivity

02

Modular platform ensures AI infrastructure scalability with greater speed and cost efficiency

03

Fully integrated AI reference architectures democratize AI infrastructure for diverse workloads with streamlined deployment and operation

DDN NVIDIA

Find Out More

what ddn can do

for your business?

Speak to a member of our team today!

This site uses cookies. Please see our Privacy Policy to learn more about how we use cookies and how to change your settings if you do not want cookies on your computer. By continuing to use this site without changing your cookies settings, you consent to the use of our cookies. Privacy Policy