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Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX - Home Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX - Home

Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX

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Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX - Home Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX - Home

Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX

  • Documentation Home

Table of Contents

  • Introduction
  • System Setup and Installation
  • Configuring Virtual Machines
  • Known Limitations
  • Appendix
  • Notices
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Optimizing VM Configuration for Performant AI Inference on Blackwell Ultra HGX#

NVIDIA B300 NVL8 full-node passthrough with KVM and libvirt.

  • Introduction
    • About this paper
    • Scope
    • Problem Statement
    • Target Audience
    • Environment
  • System Setup and Installation
    • Blackwell Ultra System Configuration
    • B300 NVL8 Physical Topology
    • Blackwell Ultra System Software Configuration
    • Installing the Hypervisor
    • Understanding system topology
    • Sample ‘lstopo’ output
    • Additional System Setup Considerations
    • Optimal device selection
  • Configuring Virtual Machines
    • VM Configuration Pre-requisites
    • Editing a VM’s XML definition
    • Scenario: Full passthrough- All GPUs, NICs, and NVSwitches
    • Virtual CPU configuration
    • Virtual PCI Express configuration
    • Passthrough device assignment
  • Known Limitations
  • Appendix
    • ATS and ACS configuration
    • Example physical topology map for B300 NVL8 8-GPU platform
    • Example libvirt domain XML for B300 NVL8 8-GPU platform
  • Notices
    • Notice
    • Trademarks
    • Copyright

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Introduction

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Last updated on Oct 22, 2026.