NVIDIA Jetson Orin - Performance Tuning

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🚧 Documentation is under development

The NVIDIA Jetson Orin guide is currently under active development. Some sections may be incomplete or change without notice.

Questions? Contact RidgeRun or email to support@ridgerun.com.

NVIDIA Jetson Orin

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Contents Pin

• Introduction
  • SoM Overview
  • Carrier Boards
    • NVIDIA developer kit
    • Auvidea X230D
    • Connect Tech Forge
  • Software Development Support
• JetPack 7.2
  • Getting Started
    • Installing JetPack
    • Flashing the board with GUI installer
    • JetPack Components
  • Compiling Source Code
    • Obtaining Sources
    • Building Kernel, OoT Modules and DTBs
  • Flashing the Board from Cmdline
• JetPack 6.1
  • Getting Started
    • Installing JetPack
    • Flashing the board with GUI installer
    • JetPack Components
  • Compiling Source Code
    • Obtaining Sources
    • Building Kernel, OoT Modules and DTBs
  • Flashing the Board from Cmdline
    • Flashing Filesystem
• JetPack 5.0.2
  • Getting Started
    • Installing JetPack
    • Flashing the board with GUI installer
    • JetPack Components
  • Compiling Source Code
    • Obtaining Sources
    • Compiling Kernel, OoT Modules and DTB
  • Flashing the Board from Cmdline
    • Flashing Filesystem
  • Performance Tuning
    • Evaluating Performance
    • Set Values Manually
    • Tuning Power
    • Maximizing Performance
    • Software Encoders For Jetson Orin Nano
• Development in the Board
  • Getting into the Board
    • Using Serial Console
    • Using SSH
    • Using Ubuntu Login
    • Installing Packages
• Emulation
  • Flashing commands for emulation
• Supported Cameras
  • IMX477+J20 Driver
• GStreamer Pipelines
  • Capture and Display
  • H264
  • H265
• RidgeRun Products
  • GstPTZR
  • GstCUDA
  • GstColorTransfer
  • GstWebRTC
  • GstRtspSink
  • GstInterpipe
  • GstInference
  • GstVPI
  • GStreamer Daemon
  • GstShark
• RidgeRun Reference Designs
  • Panoramic Stitching and WebRTC Streaming
• Reference Documentation
• Contact Us

Power and performance are key in embedded systems. In this section, you will learn how to configure and evaluate the performance and power consumption of the Orin AGX to meet your project requirements. This section is divided as follows:

• Evaluating performance will show you how to use the tegrastats utility and how to interpret its output.
• Setting values manually will show you how to control the frequency for the CPU, GPU, and memory.
• Tunning power will show you how to use the nvpmodel utility to select between different power budgets.
• Maximizing performance will show you how to activate all CPUs and how to use the jetson_clocks utility to set CPU, GPU, and memory to their maximum frequency.

NVIDIA Jetson Orin

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