nVidia Jetson AGX Orin Developer Kit

Product Information

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 VPI benchmarking sample outputs the latency in milliseconds for the Gaussian algorithm. Table 2 shows the results for each of the targeted modules. Algorithm: 5X5 on NVIDIA Jetson AGX Orin Developer Kit can act as a host (DFP, Down-stream Facing Port), so you can connect a USB device such as USB webcam, USB thumb drive, etc. to any of the port. 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 .

The included carrier board exposes many standard hardware interfaces, enabling a highly flexible and extensible platform for rapid prototyping. Giant Leap forward compared to Jetson AGX Xavier: 8 times AI performance in the same compact form-factor, built with new NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 tensor cores, 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2+6MB L3 Autonomous vehicle developers now have access to flexible, scalable, and high-performance hardware and software to build the next generation of safer, more efficient transportation.The NVIDIA® Jetson AGX Orin™ Developer Kit makes it easy to get started with the Jetson AGX Orin module. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines.

The current version available is DRIVE OS 6.0.4, which supports sensors included in the NVIDIA DRIVE Hyperion 8.1 platform architecture.The 40 pin GPIO of the Orin Nano is on the right hand side of the carrier board and here is our first issue. What pins are we connecting to? On the Jetson Nano we had the board reference printed as a silkscreen next to the pins. Inefficient supply chains coupled with labor shortages have profound negative effects on a company’s ability to fulfill demand and maintain positive customer satisfaction. The urgent need for more efficient supply chains is leading to the rapid development of AI-powered solutions. USB Type-C port next to 40-pin can act as UFP (Up-stream Facing Port) so NVIDIA Jetson AGX Orin Developer Kit act as a USB device when attached to a host PC. Make sure you put the Type-C plug of the cable into the USB Type-C port next to 40-pin connector for flashing. This can be used to connect to a standard PC audio panel to support connections to microphone, line-in, headphones, powered speakers, etc.

Enable multiple concurrent AI applications: on-board 64GB eMMC, 204 GB/s of memory bandwidth, and 32 GB of DRAMJetson 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.