Product description: Nvidia Jetson Orin Nano Super Developer Kit - ARM Cortex A78AE 6x 1.5 GHz, Nvidia Ampere + 8 GB RAM
The Nvidia Jetson Orin Nano Super Developer Kit is a compact module that includes multiple connectors and up to 40 TOPS of AI performance, making it ideal for developers who use AI in their projects. With up to 80 times more performance than the Jetson Nano Super, it can handle all modern AI models, including transformer models and advanced robotics models.
The development kit includes a Jetson Orin Nano module with 8 GB RAM and a carrier board that is compatible with the Orin Nano module and Orin NX. It is an ideal platform for prototyping next-generation Edge AI. The Jetson Orin Nano Super 8 GB module is equipped with an Ampere- based GPU and a 6-core ARM Cortex A78AE processor , enabling multiple simultaneous AI application pipelines and high-performance inference. The board includes a wide range of connectors, including two camera connectors that support 2- and 4-lane cameras.
Key Features of the Nvidia Jetson Orin Nano Super Developer Kit
- Superior AI performance : Up to 40 TOPS AI performance processing with low power and low latency
- Palm-sized smart edge device : compact dimensions of 100 x 79 x 21 mm
- Expandable with rich I/O : 4x USB 3.2 Gen 2 ports, Display Port 1.2, M.2 Key E with WiFi module, 2x M.2 Key M for SSD, 2x MIPI CSI, Gigabit Ethernet, 40-pin GPIO
Nvidia JetPack Software
The Nvidia JetPack SDK provides a complete development environment and includes CUDA-X accelerated libraries and other Nvidia technologies that speed development. JetPack includes the Jetson Linux driver package, which provides a Linux kernel, boot loader, Nvidia drivers, flashing tools, a sample file system, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and more.
Computer Vision, Machine Learning and More
- Nvidia DeepStream SDK provides a complete streaming analytics toolset for AI-driven multi-sensor processing and video and image understanding on Jetson.
- The Nvidia TAO toolkit , based on TensorFlow and PyTorch, is a low-code version of the Nvidia TAO framework that speeds up model training.
- Nvidia Riva is a GPU-accelerated SDK for building Speach AI applications that are tailored to your use case and deliver real-time performance.
- Nvidia Isaac ROS GEMs are hardware-accelerated packages that make it easy for ROS developers to build high-performance solutions on Nvidia hardware. You can learn more about Nvidia developer tools here .
Contents of the set
- Nvidia Jetson Orin Nano Super Developer Kit
- Power supply 19V/45W
- Power cables
- UPC label
- User Guide
SPECIFICATION AND COMPARISON | |||
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Product | reComputer J3010 | reComputer J3011 | Nvidia Jetson Orin Nano Developer Kit |
Module | Jetson Orin Nano 4GB | Jetson Orin Nano 8GB | Jetson Orin Nano 8GB (non-production version) with microSD slot |
AI Performance | 20 TOPS | ||
GPU | 512-core Nvidia Ampere with 16 Tensor Cores | ||
Processor | |||
RAM memory | 4GB 64-bit LPDDR5 @ 34GB/s | ||
Internal memory | - | ||
Video Codec | |||
Video decoder | 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) |
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Ethernet connector | |||
USB | 1x USB 2.0 Type-C (Device Mode) |
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Camera connector | 2x MIPI CSI-2 22-pin | ||
Display connector | 1x DisplayPort 1.2 (+MST) | ||
M.2 key E | 1x M.2 key E (WiFi/BT) | ||
M.2 key M | 1x M.2 key M with x4 PCIe Gen3 1x M.2 key M with x2 PCIe Gen3 |
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GPIO | |||
Power supply | DC 19V socket | ||
Dimensions | 103 x 79 x 21 mm |