nVidia Jetson AGX Orin Developer Kit

Product Information

By default, Jetson AGX Orin Dev Kit turns on automatically as soon as powered. You can change this behavior with the jumper on Automation header

Jetson AGX Orin features an NVIDIA Ampere architecture GPU together with next-generation deep learning and vision accelerators, and its high-speed IO and fast memory bandwidth can feed multiple concurrent AI application pipelines. This means you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion. First boot was a little slower than we hoped, but Nvidia has stated in the reviewer’s guide that final production units will not have this issue. Another issue we spotted was that only 6.3GB of RAM was available in the preview build. The full 8GB will be available to end users via a fix. The Ubuntu experience was pleasant, with the minimal amount of customization made to the desktop, short of installing tools specific to the strengths of the Orin Nano. The newest member of Jetson Family, NVIDIA® Jetson AGX Orin™ Developer Kit, provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15W and 50W, you now have more than 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products.Enable multiple concurrent AI applications: on-board 64GB eMMC, 204 GB/s of memory bandwidth, and 32 GB of DRAM The developer kit consists of a Jetson Orin Nano 8 GB module and a reference carrier board that can accommodate all NVIDIA Jetson Orin Nano and NVIDIA Jetson Orin NX modules, providing an ideal platform for prototyping next-generation edge AI products. SDK Manager opens a dialog when it is ready to flash your target device. A prompt provides instructions for preparing your device to get it ready for flashing. For more information about the flashing configurations useful for emulation, see Emulation Flash Configurations. NVIDIA DRIVE AGX Orin Developer Kit is now available for general access. Powered by a single Orin system-on-a-chip (SoC), the AI compute platform includes the hardware, software, and sample applications needed to develop production-level autonomous vehicles. It’s also modular, sharing the same design as NVIDIA Jetson, NVIDIA Isaac, and NVIDIA Clara AGX platforms.

NVIDIA ConnectX-7 smart network interface card (SmartNIC) delivers 200 Gb/s of networking speed, ideal for ingesting high frame rate video The developer kit GPU is configured with 1024 CUDA cores and 32 Tensor Cores with a max frequency of 918 MHz. Make sure your NVIDIA Jetson AGX Orin Developer Kit has the base L4T BSP flashed, the Ubuntu system is up and running, and you can login to the system.

Development for NVIDIA DRIVE AGX Orin, the advanced, software-defined platform for autonomous vehicles The Jetson Orin Nano Developer Kit is a versatile platform that supports models trained with NVIDIA TAO Toolkit 4.0, and will soon support newly announced models in TAO Toolkit 5.0. With TAO Toolkit 5.0, developers can take advantage of several state-of-the-art vision transformer models for image classification, object detection, and segmentation use cases. To learn more, see Access the Latest in Vision AI Model Development Workflows with NVIDIA TAO Toolkit 5.0 .

Your developer kit should automatically power on, and the white LED ( 0 ) near the power button will light. If not, press the Power button ( 1 ). For the Orin Nano, we have to flip over the board and perform a feat of mental dexterity to remember where each pin is. This was compounded by the Python examples using a Broadcom (BCM) mapping (Raspberry Pi also uses BCM mappings in all its official tutorials) which required further decoding. The Python module is RPi.GPIO, a module that Raspberry Pi fans will be intimately aware of. Created by Ben Croston, this Python module has powered thousands of Pi projects, and quite a few Jetson projects too. The module has been tweaked to run on the Jetson boards and is as familiar as ever to these eyes. To get around the BCM to BOARD pin mappings we chose the physical (BOARD) pin mappings, despite our years of experience teaching Raspberry Pi based content.

Next Steps

To identify the orientation of the 40-pin header (i.e. Pin 1), look for the white triangle marking on the PCB.

This can be used to connect to a standard PC audio panel to support connections to microphone, line-in, headphones, powered speakers, etc. The NVIDIA® Jetson AGX Orin™ Developer Kit and all Jetson Orin modules share one SoC architecture, enabling the developer kit to emulate performance and power for any of the modules. It is configured by default for those targeting Jetson AGX Orin series modules, but can be easily re-flashed to emulate Jetson Orin NX or Jetson Orin Nano series modules. It worked and we had an LED flashing. The GPIO pins also provide the usual plethora of communication protocols. From simple digital IO to UART, SPI, I2C and I2S. The GPIO of the Orin Nano is not the focus of the board, more of an added feature for those that wish to merge machine learning with robotics or a series of sensors. To power down the developer kit, complete the Ubuntu shutdown sequence using either the shutdown button (GUI) or command (CLI).

Field inspection: The combination of image recognition and processing and automated reporting, makes field inspections more accurate, safe, and efficient. Table 3 reports the FPS numbers after running these encode and decode samples using H.264 1080P 30FPS video streams. Encode/Decoder Sample