![]() ![]() We used emulation mode with NVIDIA JetPack 5.0.2 to run computer vision benchmarks with Jetson Orin Nano, and the results showcase how it sets the new standard. Jetson Orin modules provide a giant leap forward for your next-generation applications, and now the same NVIDIA Orin architecture is made accessible for entry-level AI devices. With Jetson AGX Orin, NVIDIA is leading the inference performance category of MLPerf. Emulate all six Jetson Orin modules Performance benchmarks with Jetson Orin Nano For more information about emulation mode, see Develop for All Six NVIDIA Jetson Orin Modules with the Power of One Developer Kit.įigure 2. With the developer kit configured to emulate Jetson Orin Nano 8GB or Jetson Orin Nano 4GB, you can develop and run your full application pipeline. With the new overlay released today, you can emulate the Jetson Orin Nano modules with the developer kit, just as with the other Jetson Orin modules. You don’t have to wait for the Jetson Orin Nano hardware to be available before starting to port your applications to the new NVIDIA Orin architecture and latest NVIDIA JetPack. The Jetson AGX Orin Developer Kit and all the Jetson Orin modules share one SoC architecture, enabling the developer kit to emulate any of the modules and make it easy for you to start developing your next product today. Start your development today using the Jetson AGX Orin Developer Kit and emulation * For more information about additional compatibility to DisplayPort 1.4a and HDMI 2.1 and virtual channels, see the Jetson Orin Nano series data sheet.įor more information about supported features, see the Software Features section of the latest NVIDIA Jetson Linux Developer Guide. Up to 4 cameras (8 through virtual channels*) 8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20 Gbps)ġ x4 + 3 x1 (PCIe Gen3, Root Port, & Endpoint)ġx 4K30 multimode DisplayPort 1.2 (+MST)/e DisplayPort 1.4/HDMI 1.4*ģx UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC and DSPK, PWM, GPIOsĦ9.6 mm x 45 mm 260-pin SO-DIMM connector Table 1 shows the differences between the Jetson Orin Nano 4GB and the Jetson Orin Nano 8GB.ĥ12-core NVIDIA Ampere Architecture GPU with 16 Tensor Coresġ024-core NVIDIA Ampere Architecture GPU with 32 Tensor CoresĦ-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB 元ġx 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265) To reduce your engineering effort, we’ve made the Jetson Orin Nano and Jetson Orin NX modules completely pin– and form-factor–compatible. Three high-speed 10-Gbps USB 3.2 Gen2 ports.Within its small, 70x45mm 260-pin SODIMM footprint, the Jetson Orin Nano modules include various high-speed interfaces: To accelerate all parts of your application pipeline, Jetson Orin Nano also includes a 6-core Arm Cortex-A78AE CPU, video decode engine, ISP, video image compositor, audio processing engine, and video input block. With sparsity, you can take advantage of the fine-grained structured sparsity in deep learning networks to double the throughput for Tensor Core operations. The NVIDIA Ampere Architecture third-generation Tensor Cores deliver better performance per watt than the previous generation and bring more performance with support for sparsity. It has up to eight streaming multiprocessors (SMs) composed of 1024 CUDA cores and up to 32 Tensor Cores for AI processing. *NVIDIA Orin Architecture from Jetson Orin Nano 8GB, Jetson Orin Nano 4GB has 2 TPCs and 4 SMs.Īs shown in Figure 1, Jetson Orin Nano showcases the NVIDIA Orin architecture with an NVIDIA Ampere Architecture GPU. The series comes with two different versions: Jetson Orin Nano 4GB and Jetson Orin Nano 8GB.įigure 1. ![]() The modules deliver up to 40 TOPS of AI performance in the smallest Jetson form-factor, with power options as little as 5W and up to 15W. Jetson Orin Nano series production modules will be available in January starting at $199. These applications require more low-latency processing on-device for the data flowing from their multimodal sensor pipelines while keeping within the constraints of a power-efficient, cost-optimized small form factor. ![]() Entry-level AI applications like smart cameras, handheld devices, service robots, intelligent drones, smart meters, and more all face similar challenges. The need for increased real-time processing capability continues to grow for everyday use cases across industries. Jump-start your Jetson Orin Nano development today with full software emulation support provided by the Jetson AGX Orin Developer Kit. This gives customers the flexibility to scale their applications easily. They deliver up to 80X the AI performance of NVIDIA Jetson Nano and set the new standard for entry-level edge AI and robotics applications.įor the first time, the Jetson family now includes NVIDIA Orin-based modules that span from the entry-level Jetson Orin Nano to the highest-performance Jetson AGX Orin. At GTC 2022, NVIDIA announced the Jetson Orin Nano series of system-on-modules (SOMs). ![]()
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