Dell EMC Ready Solutions for AI - Deep Learning with NVIDIA - Architecture Guide

Oct 22, 2026

Uploaded by Đào

Deep Learning techniques drive progress across computer vision, NLP, gaming, and autonomous driving by learning from existing data and producing predictions. Dell EMC’s Ready Solutions for AI - Deep Learning with NVIDIA delivers a complete enterprise architecture that supports training and inference, combining CPU, GPU, memory, network, storage, and software technologies for high performance. The document presents the solution architecture and covers components and provisioning workflows, with revisions and release notes dated February 2019.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages28

Reading Time1 h 11 min

AccessFree to download

Executive summary

1 Solution Overview

2 Solution Architecture

2.1 Head Node Configuration

2.2 Compute Node Configuration

2.3 Processor recommendation for Head Node and Compute Nodes

2.4 Memory recommendation for Head Node and Compute Nodes

2.5 Isilon Storage

2.6 Network

2.7 Software

2.8 NVIDIA DIGITS Tool and the Deep Learning Solution

3 Containers for Deep Learning

3.1 Singularity Containers

3.2 Running NVIDIA GPU Cloud with the Ready Solutions for AI-Deep Learning

4 The Data Science Provisioning Portal

4.1 Creating and Running a Notebook

4.2 TensorBoard Integration

4.3 Slurm Scheduler

5 Conclusions

Dell EMC Ready Solutions for AI – Deep Learning with NVIDIA Deep Learning with NVIDIA Architecture Guide Authors: Rengan Xu, Frank Han, Quy Ta Abstract There has been an explosion of interest in Deep Learning and the plethora of choices makes designing a solution complex and time consuming. Dell EMC’s Ready Solutions for AI – Deep Learning with NVIDIA is a complete solution, designed to support all phases of Deep Learning , incorporates the latest CPU, GPU, memory, network, storage, and software technologies with impressive performance for both training and inference phases. The architecture of this Deep Learning solution is presented in this document. February 2019 Revisions | Date | Description | | --- | --- | | February 2019 | Release 1.1 | | August 2018 | Initial release | The information in this publication is provided “as is.” Dell Inc. makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of merchantability or fitness for a particular purpose. Use, copying, and distribution of any software described in this publication requires an applicable software license. © February 2019 – v1.1 Dell Inc. or its subsidiaries. All Rights Reserved. Dell, EMC, Dell EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. Dell believes the information in this document is accurate as of its publication date. The information is subject to change without notice. Table of Contents Revisions.............................................................................................................................................................................2 Table of Contents ................................................................................................................................................................3 Executive summary.............................................................................................................................................................4 1 Solution Overview ........................................................................................................................................................5 2 Solution Architecture ....................................................................................................................................................7 2.1 Head Node Configuration ...................................................................................................................................7 2.1.1 Shared Storage via NFS over InfiniBand ...........................................................................................................8 2.2 Compute Node Configuration .............................................................................................................................8 2.2.1 GPU ....................................................................................................................................................................9 2.3 Processor recommendation for Head Node and Compute Nodes ...................................................................10 2.4 Memory recommendation for Head Node and Compute Nodes ......................................................................10 2.5 Isilon Storage .................................................................................................................................................... 11 2.6 Network ............................................................................................................................................................. 12 2.7 Software............................................................................................................................................................ 13 2.8 NVIDIA DIGITS Tool and the Deep Learning Solution ..............

FAQs

What problem does this document address for deep learning deployments?

Designing deep learning solutions is complex and time-consuming due to the many available options. The document provides an integrated architecture that supports the full deep learning workflow.

Which technologies are included in Dell EMC’s Ready Solutions for AI?

The solution incorporates CPU, GPU, memory, network, storage, and software technologies, targeting strong performance for both training and inference.

What areas does the guide cover beyond the overall solution architecture?

It includes container approaches for deep learning, plus a data science provisioning portal with notebook creation, TensorBoard integration, and Slurm scheduling.

Oct 22, 2026

Uploaded by Đào