NVIDIA DashCamNet, BodyPoseNet for multiperson human pose estimation.NVIDIA LPRNet for license plate recognition.NVIDIA ActionRecognitionNet 2D and 3D models.NVIDIA PeopleNet v2.5 for the highest accuracy people detection.The benchmark testing included the following: Testing included some dense INT8 and FP16 pretrained models from NGC, and an Industry Resnet-50 Benchmark. Results from benchmark testing with pretrained models comparing the Jetson Nano to the Jetson Orin Nano 8 GB. These results show that the developer kit raises the bar for entry-level computer vision. Here are results from running some computer vision benchmarks with Jetson Orin Nano using the latest NVIDIA JetPack 5.1.1. These include NVIDIA Isaac for robotics, NVIDIA DeepStream for vision AI, and NVIDIA Riva for conversational AI.ĭevelopers can save time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and with the TAO Toolkit for fine-tuning pretrained AI models from the NGC catalog, said NVIDIA. Jetson Orin Nano Developer Kit runs the NVIDIA AI software stack, with available use-case-specific application frameworks. BERT for natural language processing (NLP).PeopleNet Transformer based on the Deformable Detection Transformer.City Segmentation for segmenting urban cityscapes into different classes.A transformer model learns context and meaning by tracking the relationship between elements in sequential data, eliminating the need for a large labeled dataset, explained NVIDIA. Transformer models are the basis of recent generative AI applications like ChatGPT and DALL-E. This compute makes demanding AI applications possible, including running transformer models right at the edge, which was not possible before with Jetson Nano, it said. The Jetson Orin Nano Developer Kit, with up to 40 TOPS of AI performance, can run all modern AI models, asserted NVIDIA. Jetson Orin Nano runs all modern AI models To access the Jetson Orin Nano technical documentation, reference design files, and software, visit the Jetson Download Center. The Jetson Orin Nano Developer Kit is now available for preorder at $499, and will start shipping in April. Height includes feet, carrier board, module, and thermal solution UHS-1 cards up to SDR104 mode (under the Module)Ĥ0-pin Expansion Header (UART, SPI, I2S, I2C, GPIO) Type A: 4x USB 3.2 Gen2 Type C: 1x for Debug and Device Mode Table 2: NVIDIA Jetson Orin Nano Developer Kit reference carrier board specifications Camera In addition to the bootable microSD card slot, NVIDIA provided two M.2 Key-M NVMe sockets are provided on the underside of the carrier for high-speed storage. NVIDIA Ampere architecture with 1024 NVIDIA CUDA Cores andĦ-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB 元Įxternal through microSD slot External NVMe through M.2 Key M Table 1: NVIDIA Jetson Orin Nano Developer Kit module specifications Module The NVIDIA Jetson Orin Nano Developer Kit includes an Orin Nano 8 GB module with an SD-card slot, a reference carrier board, preassembled heatsink/fan, a 19V DC power supply, and an M.2-Key E based wireless networking module. Source: NVIDIA NVIDIA Jetson Orin Nano Developer Kit features Performance and efficiency comparison between NVIDIA Jetson Orin Nano and NVIDIA Jetson Nano. Not only does the kit provide a significant boost in AI performance over the prior-generation Jetson Nano, said NVIDIA, but it also provides 5.4x the CUDA compute, 6.6x the CPU performance, and 50x the performance per watt. It added that the new Jetson Orin Nano Developer Kit offers 80x the performance, enabling developers to run modern AI models, including transformer and advanced robotics models. The company said the prior-generation Jetson Nano Developer Kit made AI accessible to everyone. The developer kit carrier board boasts a wide array of connectors, including two MIPI CSI connectors supporting camera modules with up to four lanes, for higher resolution and frame rates than before, according to NVIDIA. They are designed to enable multiple concurrent AI application pipelines and high-performance inference, said the company. The Jetson Orin Nano 8 GB module features an NVIDIA Ampere architecture GPU with 1024 CUDA cores, 32 third-generation Tensor Cores, and a six-core Arm CPU. 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 NX modules, providing a platform for prototyping next-generation edge AI products. “Compact design, numerous connectors, and up to 40 TOPS of AI performance make this developer kit ideal for transforming visionary concepts into reality,” claimed NVIDIA. announced the NVIDIA Jetson Orin Nano Developer Kit, which it said “sets a new standard for creating entry-level AI-powered robots, smart drones, and intelligent vision systems.” It is also designed to simplify getting started with the NVIDIA Jetson Orin Nano series.
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