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Home > Workload Solutions > Artificial Intelligence > White Papers

White Papers

White papers that describe solutions for artificial intelligence, including related white papers from analysts and partners

  • AI
  • NVIDIA
  • PowerEdge
  • PowerScale
  • generative AI
Generative AI in the Enterprise

This white paper presents an overview of Generative AI and introduces Project Helix, a collaboration between Dell and NVIDIA to enable high performance, scalable, and modular full-stack generative AI solutions for large language models (LLMs) in the enterprise
White Paper—Dell Server Performance Using the MLPerf™ Training v3.0 Benchmark

This white paper describes the performance of the latest generation of Dell servers with NVIDIA A100 and H100 GPUs for training deep learning workloads using the MLPerf Training v3.0 benchmark. It provides a comprehensive single-node analysis of MLPerf Trainin
  • AI
  • PowerEdge
  • GPU
  • Run:ai
GPU Optimization with Run:ai Atlas

This technical white paper describes a solution and validated reference architecture for GPU resource allocation and scheduling using the Run:ai Atlas platform on Dell infrastructure.
  • deep learning
  • NVIDIA
  • PowerEdge
  • VMware
  • vSphere
  • VxRail
  • virtualization
  • PowerSwitch
  • GPU
  • PowerScale
White Paper - Virtualizing GPUs for AI with VMware and NVIDIA Based on Dell Infrastructure

This white paper describes Dell Technologies Validated Design for AI, which was designed in collaboration with VMware and NVIDIA. It details how enterprises can run AI workloads alongside existing applications in data centers without compromising performance.
  • PowerEdge
  • machine learning
  • PowerSwitch
  • ECS
  • validated design
  • chatbots
  • Conversational AI
  • natural language processing
  • virtual assistant
Conversational AI with Kore.ai

This technical white paper discusses the market trends, use cases, and benefits of Conversational AI. It describes a solution and validated reference architecture for Conversational AI with the Kore.ai Experience Optimization Platform on Dell infrastructure.
  • AI
  • deep learning
  • Artificial Intelligence
Memory Consumption Modeling of Deep Learning Workloads

In this white paper, we present a multi-parameter modeling approach to generate analytical models that accurately predict the peak memory consumption of a Deep Learning workload.
  • Intel
  • PowerEdge
  • machine learning
  • GPU
  • ML
Accelerating End-to-End Machine Learning Using the Intel® oneAPI Toolkit and Intel® Flex Series GPU

This white paper describes the accelerated performance of an E2E ML pipeline using Intel’s oneAPI AI Analytics Toolkit as compared to a baseline pandas implementation.
  • NVIDIA
  • PowerEdge
  • GPU
  • MLPerf
  • Benchmark
MLPerf™ Inference v2.1 with NVIDIA GPU-Based Benchmarks on Dell PowerEdge Servers

This white paper describes the successful submission, which is the sixth round of submissions to MLPerf Inference v2.1 by Dell Technologies. It provides an overview and highlights the performance of different servers that were in submission.
Empowering Support Agents with Next Best Action Recommendations

This white paper describes how the Next Best Action Recommendation solution helps Dell support agents troubleshoot technical issues more effectively for the Infrastructure Support Group (ISG).
  • AI
  • machine learning
  • GPU
  • Run:ai
Accelerate AI by Optimizing Compute Resources with the Run:ai Atlas Platform

This white paper provides insight into how Run:ai Atlas when used with GPU-enabled Dell PowerEdge server infrastructure can enable GPU sharing and optimization to accelerate AI workload scheduling and execution.
  • NVIDIA
  • PowerEdge
  • GPU
  • DSS 8440 GPU Server
  • MLPerf
Performance of Dell Servers Running with NVIDIA Accelerators on MLPerf™ Training v2.0

This white paper describes the successful submission, which is the sixth round of submission, to MLPerf Training v2.0 by Dell Technologies. It provides an overview and highlights the performance of different servers that were in the submission.
  • AI
  • machine learning
DELLQUINN: A Machine Learning-Based, Resource Capacity Optimization Solution

This white paper describes a machine learning-based resource optimization solution that helps the Dell High End Storage Field Services Team perform capacity planning more efficiently and with the potential to optimize resource utilization and overtime.
  • AI
  • NVIDIA
  • PowerEdge
  • VMware
  • machine learning
  • Kubernetes
  • vSAN
Automate Machine Learning with H2O Driverless AI on Dell Infrastructure

This technical white paper discusses the benefits of automated machine learning and the challenges of non-automated model development that it overcomes. The paper presents an overview of the H2O Driverless AI product from H2O.ai, along with a solution architec
  • AI
  • deep learning
  • NVIDIA
  • PowerEdge
  • vSphere
  • machine learning
  • GPU
White Paper—Optimize Machine Learning Through MLOps with Dell Technologies and cnvrg.io

This white paper defines MLOps, describes its purpose and increasing relevance for practitioners of machine learning and artificial intelligence, and details how organizations can use MLOps to optimize their machine learning deployments and bring prototypes in
Dell Technologies DellNLP: A Centralized Text Processing Engine

This white paper describes how an in-house Natural Language Processing (NLP) product, DellNLP, leverages machine learning and artificial intelligence to derive insights from text data within Support Services and improves the customer experience.
  • NVIDIA
  • PowerEdge
  • GPU
  • MLPerf
  • Intel Xeon
MLPerf™ Inference v1.0 – NVIDIA GPU-Based Benchmarks on Dell EMC PowerEdge R750xa Servers

This paper describes Dell EMC PowerEdge R750xa server performance results submitted to the MLPerf™ Inference v1.0 benchmark. The results indicate that the server delivered optimal performance making it an excellent choice for inference workloads.
Edge Simulation for Advanced Development Systems

This whitepaper describes how Dell Technologies is working with monoDrive to produce high-fidelity simulations using the industry-leading PowerEdge and PowerStore systems.
  • NVIDIA
  • PowerEdge
  • machine learning
  • GPU
  • MLPerf
Harness the Power of Dell EMC PowerEdge R7525/R7515 Servers with NVIDIA GPUs for Machine Learning Inference

Dell Technologies has a rich portfolio of hardware platforms that are being used to power ML and DL solutions. This paper showcases two servers from Dell Technologies that are powered by AMD processors and accelerated by NVIDIA GPUs.
  • Red Hat Enterprise Linux
  • Red Hat
  • NVMe
Performance and Tuning Considerations for SAS Viya on Dell EMC VxFlex

This technical paper presents the testing results of a SAS Viya workload on the Dell EMC VxFlex system. The Dell EMC VxFlex was utilized as an MPP architecture for the Viya system.
  • AI
  • machine learning
Dell and Comet - Experiment Management for Machine Learning Projects

A two-part white paper covering the benefits of using the Comet machine learning platform with a Dell EMC AI-enabled infrastructure.
Demand Forecasting: A Machine Learning-Based Solution to Forecast Demand Signals for Dell Services

This white paper describes the features and benefits of a machine learning-based solution that predicts and estimates the future demand of various demand signals, which in turn assists several Dell teams to make better business decisions.
  • Artificial Intelligence
Intelligent Case Classification

This white paper presents Intelligent Case Classification, an advanced Natural Language Processing and Machine Learning-driven text classification approach for analyzing Dell customer support interactions.
Service capability to prevent and root-cause third party driver update failures

This white paper presents a service capability at Dell that leverages telemetry data from connected devices and Bayesian ML to proactively predict, prevent and root-cause driver update failures to address security vulnerabilities and other performance issues.
  • inferencing
  • NVIDIA A100
  • Llama 2
  • Large Language Model
  • PowerEdge R760
Llama 2: Inferencing on a Single GPU

This document describes how to deploy and run inferencing on a Meta Llama 2 7B parameter model using a single NVIDIA A100 GPU with 40GB memory.
  • AI
  • MLOps
  • Managed Services
Dell Managed Service for Machine Learning Operations – Security Overview

This paper describes the shared security responsibilities between Dell Technologies and the customer. Dell Technologies has designed and implemented internal security controls, including suggested best practices and recommendations, to guide customers who use