What can you load on a NVidia Jetson Orin Nano AI?

What can you load on a NVidia Jetson Orin Nano AI?

Operating Systems
- **JetPack SDK**: Comprehensive software development kit including Linux for Tegra (L4T) based on Ubuntu 22.04 LTS (NVIDIA customized kernel with GPU acceleration). Latest versions as of 2025 include JetPack 6.2 (with up to 70% performance boost for generative AI via firmware update). Installed via NVIDIA SDK Manager or pre-built SD card images.


AI and Machine Learning Frameworks
- **TensorRT**: High-performance deep learning inference optimizer and runtime for deploying trained models on NVIDIA GPUs.
- **cuDNN**: NVIDIA's GPU-accelerated library for deep neural networks, supporting convolutional and recurrent networks.
- **NVIDIA TAO Toolkit**: End-to-end platform for training, fine-tuning, and deploying AI models with transfer learning.
- **PyTorch**: Open-source ML framework with Jetson-optimized wheels for model training and inference (includes support for TorchScript and Kineto profiler, compilable from source).
- **TensorFlow**: Google's ML framework with TensorFlow Lite support for edge deployment.
- **ONNX Runtime**: Cross-platform inference engine for ONNX models.
- **Ultralytics YOLO11**: Real-time object detection library, optimized for Jetson with benchmarks on Orin Nano Super (supports PyTorch, TensorRT, etc.).
- **Hugging Face Transformers**: Library for state-of-the-art NLP and vision models (e.g., large language models like BERT, vision transformers).

Computer Vision and Video Analytics
- **DeepStream SDK**: Toolkit for building AI-powered video analytics applications, including multi-stream processing and inference pipelines.
- **VisionWorks**: Computer vision library for accelerated image and video processing.
- **OpenCV**: Open-source computer vision library with CUDA acceleration for GPU-optimized operations.

Robotics and Autonomous Systems
- **NVIDIA Isaac ROS**: ROS 2-based framework with hardware-accelerated packages for perception, manipulation, and navigation (e.g., Isaac Sim for simulation).
- **ROS 2 (Robot Operating System)**: Modular framework for writing robot software, with Jetson-specific accelerations for SLAM, navigation, and sensor fusion.

Graphics and Multimedia
- **CUDA Toolkit**: Parallel computing platform and API for GPU-accelerated applications.
- **OpenGL ES / Vulkan**: Graphics APIs for rendering and compute shaders.
- **GStreamer**: Multimedia framework with NVIDIA plugins for hardware-accelerated video encoding/decoding (e.g., NVENC, NVDEC).
- **V4L2 (Video4Linux2)**: Kernel framework for video capture and output, with Jetson-specific drivers.

Developer Tools and Utilities
- **NVIDIA SDK Manager**: Tool for flashing OS, installing SDK components, and managing Jetson devices from a host PC.
- **nsight Systems / Compute**: Profiling tools for performance analysis of CPU/GPU applications.
- **Jetson AI Lab**: Collection of tutorials and pre-built generative AI models (e.g., vision transformers, VLMs for image captioning).
- **Synaptic Package Manager**: GUI for installing Debian/Ubuntu packages (e.g., via apt for general software like nano editor).

Networking and System Tools
- **NetworkManager**: Tool for managing wired/wireless connections (Wi-Fi module pre-installed on developer kit).
- **Advanced IP Scanner**: Utility for LAN IP discovery (useful for headless setup).
- **ifconfig / ip**: Standard Linux networking commands for IP configuration.

General and Third-Party Packages
- **apt-based Packages**: Any Ubuntu 22.04-compatible software via `apt install` (e.g., nano, synaptic, pygame for game development, biopython for biology simulations). Jetson-specific repos available for NVIDIA-optimized builds.
- **CUDA-X Libraries**: Suite including cuBLAS (linear algebra), NPP (image processing), and NVENC (video encoding).
- **Game Development**: Pygame and Chess libraries for prototyping AI games.
- **Domain-Specific**: PubChemPy (chemistry), Astropy (physics), BioPython (biology) – available via pip or apt, with GPU acceleration where applicable.

All software is compatible with the Jetson Orin Nano's Ampere GPU and Arm CPU architecture. Start with JetPack installation for core components, then add via apt, pip, or NVIDIA's NGC catalog for containers. For the three units, use SDK Manager for batch flashing if networked. Check NVIDIA Developer forums for latest compatibility.

 

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The NVIDIA JetPack SDK is a comprehensive software development kit for Jetson platforms, including the Jetson Orin Nano. Below is a bulleted list of its components, organized by category, based on the latest available information (up to JetPack 6.2, as of October 2025).

Operating System​

• Linux for Tegra (L4T):
  
  • Customized Ubuntu 22.04 LTS-based OS with NVIDIA-optimized kernel.
  • Includes drivers for GPU, multimedia, display, and camera.
  • Supports over-the-air updates and secure boot.

AI and Machine Learning Frameworks​

• TensorRT:
  
  • High-performance deep learning inference library for optimizing and deploying neural networks.
  • Includes TensorRT Optimizer and runtime for low-latency inference.
• cuDNN:
  
  • GPU-accelerated library for deep neural network primitives (e.g., convolutions, activations).
• NVIDIA TAO Toolkit:
  
  • Framework for transfer learning, model training, and optimization for vision AI tasks.
• CUDA Toolkit:
  
  • Parallel computing platform with libraries like cuBLAS and cuSPARSE for AI and scientific computing.

Computer Vision and Video Analytics​

• DeepStream SDK:
  
  • Framework for building AI-based video analytics pipelines with multi-stream support.
  • Includes plugins for inference, tracking, and visualization.
• VisionWorks:
  
  • Library for GPU-accelerated computer vision algorithms (e.g., feature detection, image processing).
• VPI (Vision Programming Interface):
  
  • Cross-platform computer vision and image processing library with CUDA and CPU backends.

Multimedia​

• NVIDIA Multimedia API:
  
  • Libraries for hardware-accelerated video encoding (NVENC) and decoding (NVDEC).
• GStreamer Plugins:
  
  • NVIDIA-optimized plugins for video and audio processing pipelines.
• V4L2 (Video4Linux2):
  
  • Drivers for camera capture and video output, optimized for Jetson hardware.

Robotics and Autonomous Systems​

• Isaac ROS:
  
  • ROS 2 packages for hardware-accelerated perception (e.g., stereo vision, depth estimation) and navigation.
  • Integration with Isaac Sim for simulation.

Developer Tools​

• Nsight Systems:
  
  • System-wide performance analysis tool for profiling CPU, GPU, and memory usage.
• Nsight Graphics:
  
  • Tool for debugging and optimizing graphics applications (e.g., OpenGL, Vulkan).
• Nsight Compute:
  
  • Profiler for CUDA kernel performance analysis.
• NVIDIA SDK Manager:
  
  • GUI/CLI tool for flashing Jetson devices, installing JetPack components, and managing dependencies.

Graphics and Display​

• NVIDIA X Driver:
  
  • GPU-accelerated display driver for X11-based desktop environments.
• OpenGL ES:
  
  • API for 2D/3D rendering on embedded systems.
• Vulkan:
  
  • Modern graphics and compute API for high-performance rendering.
• EGL:
  
  • Interface for rendering graphics with GPU acceleration.

System and Networking Tools​

• Jetson Power GUI:
  
  • Tool for monitoring and configuring power modes (e.g., MAXN, 5W).
• NetworkManager:
  
  • Utility for managing Ethernet and Wi-Fi connections (Wi-Fi supported on developer kit).
• CUPS:
  
  • Common Unix Printing System for printer management.

Additional Libraries and Utilities​

• CUDA-X Libraries:
  
  • Includes cuBLAS (linear algebra), NPP (image processing), and cuFFT (Fast Fourier Transforms).
• Jetson Utilities:
  
  • Tools like jetson_clocks for performance tuning and jetson_release for system information.
• Container Runtime:
  
  • Support for Docker and NVIDIA Container Toolkit for running containerized AI/ML workloads.
• Jetson GPIO:
  
  • Python library for controlling GPIO pins on Jetson hardware.

Pre-installed Software​

• Ubuntu Desktop Environment:
  
  • GNOME-based desktop for user interaction (can be replaced with minimal setups).
• Standard Linux Tools:
  
  • Includes apt, bash, and common utilities (e.g., nano, vim).
• Python:
  
  • Pre-installed Python 3 with support for pip to install additional packages (e.g., NumPy, OpenCV).

Notes​

• JetPack 6.2 (latest as of 2025) enhances generative AI performance by up to 70% on Orin Nano via firmware updates.
• Components are installed via NVIDIA SDK Manager or pre-built SD card images from NVIDIA’s developer site.
• Some components (e.g., TAO, DeepStream) may require additional downloads from NVIDIA NGC.
• All components are optimized for the Jetson Orin Nano’s Ampere GPU and Arm Cortex-A78AE CPU.

For detailed installation instructions or specific versions, refer to NVIDIA’s Jetson Developer site or forums.