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Home > Workload Solutions > Artificial Intelligence > Guides

Guides

Architecture, validation, and other technical guides that describe Dell Technologies solutions for artificial intelligence

  • AI
  • deep learning
  • NVIDIA
  • PowerEdge
  • vSphere
  • machine learning
  • GPU
Design Guide—Optimize Machine Learning Through MLOps with Dell Technologies cnvrg.io

This guide describes the Dell Validated Design for Machine Learning through MLOps with Dell Technologies and cnvrg.io. This validated design was developed in collaboration with cnvrg.io.
  • deep learning
  • NVIDIA
  • PowerEdge
  • VMware
  • vSphere
  • virtualization
  • vSAN
  • PowerSwitch
  • GPU
  • PowerScale
Design Guide—Virtualizing GPUs for AI with VMware and NVIDIA Based on Dell Infrastructure

This design guide describes the reference architecture of Dell Technologies Validated Design for AI, which was designed in collaboration with VMware and NVIDIA. It provides deployment guidelines and results of performance characterization of virtualized GPUs.
  • NVIDIA
  • PowerEdge
  • VMware
  • VxRail
  • ESXi
  • GPU
Implementation Guide—Virtualizing GPUs for AI with VMware and NVIDIA Based on Dell Infrastrucutre

This guide describes the deployment and implementation of the Dell Validated Design for Virtualizing GPUs for AI with VMware and NVIDIA. This reference architecture was designed in collaboration with VMware and NVIDIA and is based on Dell infrastructure.
  • AI
  • deep learning
  • NVIDIA
  • GPU
Architecture Guide—Dell EMC Ready Solutions for AI: Deep Learning with NVIDIA

This architecture guide describes a Dell EMC solution that supports all phases of Deep Learning. The solution incorporates the latest CPU, GPU, memory, network, storage, and software technologies, providing high performance for training and inference phases.
  • AI
  • NVIDIA
  • PowerEdge
  • IoT
  • OpenManage
Design Guide—Delivering Edge AI with NVIDIA Fleet Command

This design guide describes Dell EMC PowerEdge server options for hosting AI applications on edge systems managed by the NVIDIA Fleet Command software platform. Based on a micro-services architecture, Fleet Command enables customers to provision edge systems q
Architecture Guide—Bright Computing Cluster-as-a-Service for VMware