NVMe 2280 MakerDisk SSD - Jetson Orin Nano OS

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  • 256GB
  • 128GB
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Description

Note: This page has 2 options for NVMe 2280 M-Key MakerDisk SSD for Nvidia Jetson Orin Nano. Please select your preferred memory capacity:

  • 128GB
  • 256GB

Note: From August 2023 onwards, these NVMe 2280 M-Key MakerDisk SSDs are preloaded with JetPack 5.1.2 for Nvidia Jetson Orin Nano 8GB Dev Kit with a pre-configured username and password. Please DO NOT format this NVMe SSD.

 

Username: orin_nano
Password: jetson

 

 


 

 

 

No eMMC is included on the Nvidia Jetson Orin Nano Module, this provides flexibility for the developer to choose the preferred storage size and type, for example, microSD card or NVMe SSD. And of course, NVMe SSD provides faster booting time, faster memory access, and higher durability.

 

The Jetson Orin Nano operates with JetPack 5.1.2 OS. However, to load the JetPack 5.1.2 into NVMe SSD, you will need a Ubuntu host computer with the Nvidia SDK Manager, and also the Jetson Orin Nano Dev kit itself. Yes, it is not as straightforward as loading the microSD card image. Worry not! We have done the hard work for you. This is a MakerDisk 128GB NVMe 2280 M-Key MakerDisk SSD, preloaded JetPack 5.1.2, ready to boot up on the Jetson Orin Nano Dev board.

 

The NVMe 2280 MakerDisk SSD have to be installed at the NVMe slot at the back of the Jetson Orin Nano carrier board. Slot it at a 45° angle and push it down to lock the NVMe with a screw provided. :)

 

Note: Once the NVMe MakerDisk SSD with JetPack boots up, please proceed to log in with the pre-configured username and password:

Username: orin_nano
Password: jetson

 

Note: Please DO NOT format it if you intend to use it with the Dev Kit.

 

 

 

It takes only ~42 seconds to boot into the login screen. And since the Jetson Runtime Components (CUDA Runtime, CUDA X-AI Runtime, etc) and SDK components (CUDA, Computer Vision, etc) are preinstalled, the OS is pre-configured.

Note: It is normal for the screen to go blank and the fan stops during the boot-up process.

 

This NVMe 2280 M-Key MakerDisk SSD comes pre-loaded with JetPack for Jetson Orin Nano Dev Kit, so it can boot up on the Jetson Orin Nano Dev kit right out of the box.

 

You will see this login page once the Jetson Orin Nano boots up.

 

 

Now all you have to do is key in the password:

Username: orin_nano
Password: jetson

 

 

And tadaaaa~

There you have it, the Jetson Orin Nano desktop!

 

Note: Please DO NOT power off without proper shutdown from the Desktop. It will corrupt the JetPack image in the NVMe SSD.

 

 

JetPack 5.1.2

JetPack 5.1.2 is the latest production release by Nvidia and supports all Jetson Orin modules.

Key features in Jetpack 5.1.2:

  • Jetson Linux:
  • TensorRT:
    • TensorRT is a high-performance deep learning inference runtime for image classification, segmentation, and object detection neural networks. TensorRT is built on CUDA, NVIDIA’s parallel programming model, and enables you to optimize inference for all deep learning frameworks. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications.
    • JetPack 5.1.2 includes TensorRT 8.5.2
  • DLA:
    • NVIDIA DLA hardware is a fixed-function accelerator engine targeted for deep learning operations. It's designed to do full hardware acceleration of convolutional neural network, supporting various layers such as convolution, deconvolution, fully connected, activation, pooling, batch normalization, and others 
    • DLA software consists of the DLA compiler and the DLA runtime stack. The offline compiler translates the neural network graph into a DLA loadable binary and can be invoked using NVIDIA TensorRT. The runtime stack consists of the DLA firmware, kernel mode driver, and user mode driver. 
    • Jetpack 5.1.2 includes DLA 3.12.1
  • cuDNN:
    • CUDA Deep Neural Network library provides high-performance primitives for deep learning frameworks. It provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers.
    • JetPack 5.1.2 includes cuDNN 8.6.0
  • CUDA:
    • CUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications.
    • JetPack 5.1.2 includes CUDA 11.4.19
    • Starting with JetPack 5.0.2, upgrade to the latest and greatest CUDA releases from CUDA 11.8 onwards without the need to update Jetson Linux other JetPack components. Refer to the instructions in the CUDA documentation on how to get the latest CUDA on JetPack.
  • Multimedia API:
    • The Jetson Multimedia API package provides low level APIs for flexible application development.
    • Camera application API: libargus offers a low-level frame-synchronous API for camera applications, with per-frame camera parameter control, multiple (including synchronized) camera support, and EGL stream outputs. RAW output CSI cameras needing ISP can be used with either libargus or GStreamer plugin. In either case, the V4L2 media-controller sensor driver API is used.
    • Sensor driver API: V4L2 API enables video decode, encode, format conversion and scaling functionality. V4L2 for encoding opens up many features like bit rate control, quality presets, low latency encode, temporal tradeoffs, motion vector maps, and more.
    • JetPack 5.1.2 Camera highlights include:
      • Enhanced error resiliency for improved stability in Argus 
      • Support for multiple camera synchronization (sample argus_syncstereo added).
      • Deskew calibration support for high data rate sensors (> 1.5 Gbps)
      • Support for alternating exposures in Argus (sample argus_userAlternatingAutoexposure added)
  • Computer Vision: 
    • VPI (Vision Programing Interface) is a software library that provides Computer Vision / Image Processing algorithms implemented on multiple hardware accelerators found on Jetson such as PVA (Programmable Vision Accelerator), GPU, NVDEC(NVIDIA Decoder), NVENC (NVIDIA Encoder), VIC (Video Image Compositor) and so on.
    • OpenCV is an open-source library for computer vision, image processing and machine learning.
    • JetPack 5.1.2 includes VPI 2.3 with following highlights: 
      • New Brute Force Matcher algorithm supported on CPU and GPU backends
      • New Transform Estimator algorithm supported on CPU backend
    • JetPack 5.1.2 includes OpenCV 4.5.4
  • Graphics:
    • JetPack 5.1.2 includes the following graphics libraries:
    • Vulkan® 1.3 (including the Roadmap 2022 Profile).
    • Vulkan® SC 1.0
      • Vulkan SC is a low-level, deterministic, robust API that is based on Vulkan 1.2. This API enables state-of-the-art GPU-accelerated graphics and computation that can be deployed in safety-critical systems and that are certified to meet industry functional safety standards. Refer to https://www.khronos.org/vulkansc/ for more information.
      • Vulkan SC can also be invaluable for real-time non safety-critical embedded applications. Vulkan SC increases determinism and reduces application size by shifting preparation of the run-time application environment either offline or into application setup, as much as possible. This includes an offline compilation of graphics pipelines that define how the GPU processes data, together with static memory allocation, that together enable detailed GPU control that can be rigorously specified and tested.
      • Vulkan SC 1.0 is evolved from Vulkan 1.2 and includes: the removal of runtime functionality that is not needed in safety-critical markets, an updated design to provide predictable execution times and results, and clarifications to remove potential ambiguity in its operation. For more details see https://www.khronos.org/blog/vulkan-sc-overview
      • Note: Jetson support for Vulkan SC is NOT safety certified.
    • OpenWF™ Display 1.0
      • OpenWF Display is a Khronos API for low overhead interaction with the native display driver on Jetson and allows interaction with Vulkan SC to display images.
      • Note: Jetson support for OpenWF Display is NOT safety certified.
  • Nsight Developer Tools:
    • CUDA Toolkit provides a comprehensive development environment for C and C++ developers building high-performance GPU-accelerated applications with CUDA libraries. The toolkit includes Nsight Visual Studio Code EditionNsight Eclipse Plugins, debugging and profiling tools including Nsight Compute, and a toolchain for cross-compiling applications
    • NVIDIA Nsight Systems is a low overhead system-wide profiling tool, providing the insights developers need to analyze and optimize software performance.
    • NVIDIA Nsight Graphics is a standalone application for debugging and profiling graphics applications.
    • NVIDIA Nsight Deep Learning Designer is an integrated development environment that helps developers efficiently design and develop deep neural networks for in-app inference.
    • Nsight System, Nsight Graphics, and Nsight Compute are all supported on Jetson Orin modules to assist development for autonomous machines.
    • JetPack 5.1.2 includes NVIDIA Nsight Systems v2022.5
    • JetPack 5.1.2 includes NVIDIA Nsight Graphics 2022.6
    • JetPack 5.1.2 includes NVIDIA Nsight Deep Learning Designer 2022.2
  • Supported SDKs and Tools:
    • NVIDIA DeepStream SDK is a complete analytics toolkit for AI-based multi-sensor processing and video and audio understanding.
    • DeepStream 6.2 release supports JetPack 5.1.2
    • NVIDIA Triton™ Inference Server simplifies the deployment of AI models at scale. Triton Inference Server is open source and supports the deployment of trained AI models from NVIDIA TensorRT, TensorFlow and ONNX Runtime on Jetson. On Jetson, Triton Inference Server is provided as a shared library for direct integration with C API.
    • PowerEstimator is a webapp that simplifies the creation of custom power mode profiles and estimates Jetson module power consumption.
    • JetPack 5.1.2 adds supports for Jetson Orin NX and Jetson Orin Nano in PowerEstimator.
    • NVIDIA Isaac™ ROS is a collection of hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware including NVIDIA Jetson.
    • Isaac ROS DP3.1 release supports JetPack 5.1.2
  • Cloud Native: 
    • Jetson brings Cloud-Native to the edge and enables technologies like containers and container orchestration. NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enbaling GPU accelerated containerized applications on Jetson platform. 
    • NVIDIA hosts several container images for Jetson on NVIDIA NGC. Some are suitable for software development with samples and documentation and others are suitable for production software deployment, containing only runtime components.
    • Find more information and a list of all container images at the Cloud-Native on Jetson page.
  • Security: 
Features
  • Brand: MakerDisk
    • Form factor: M.2 2280 M-Key NVMe SSD
    • Pre-loaded with Jetpack 5.1.2 (for Jetson Orin Nano)
    • NOT SATA Drive
    • High level of ability to endure shock, vibration, and high temperature
    • SMART & TRIM support
    • PCIe Interface: PCIe Gen 3 x 4
    • Compliance: NVMe 1.3PCI Express Base 3.1
    • Memory capacity (option):
      • 256GB
      • 128GB
    • Performance:
      • Read: Up to 1800MB/s
      • Write: Up to 560MB/s
    • Shock: 1500G/0.5ms
    • Operation temperature: 0°C-70°C
    • Up to 30X faster than a typical hard disk drive
    • Boosts burst write performance, making it ideal for typical computer workloads
    • Faster boot-up, shutdown, application load, and response for Jetson Orin Nano
    Packing List
    • 1 x NVMe 2280 M-Key MakerDisk SSD - Preloaded with Jetpack for the Nvidia Jetson Orin Nano(select preferred memory capacity)
      • 256GB
      • 128GB

     

    Note: This NVme is preinstalled with below components which include Jetson Linux Image (Target Operating System: Jetpack 5.1.2 for Jetson Orin Nano).

     

     

     

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    Tags: 5.1.2, Orin Nano, SD