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Product description: AGX Orin 32GB H01 Kit - set with Nvidia Jetson AGX Orin - Seeedstudio 114110207
Nvidia Jetson AGX Orin 32GB H01 Kit is a powerful and compact kit with 200 TOPS of AI processing power, which is 10 times more than Jetson Xavier NX and 6 times more than Jetson AGX Xavier . Combining an Nvidia Ampere GPU along with 64-bit support, AGX Orin integrates advanced multi-functional video and image processing as well as Nvidia Deep Learning accelerometers.
The kit includes Jetson AGX Orin, heatsink with fan, case and power supply, while being an alternative to the Jetson AGX Orin Dev Kit . It is equipped with PCIe x16, Gigabit Ethernet port and 10 Gb/s Ethernet, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, WiFi 2.4 GHz / 5 GHz wireless communication system and Bluetooth, 16 -line MIPI CSI-2, 40-pin GPIO connector. Jetpack 5.0.2 is pre-installed on the board, which simplifies development and allows you to deploy Edge AI solutions for video analytics, object detection, natural language processing, medical imaging and robotics in various industries of smart city, security, industrial automation, smart factory.
Main features of AGX Orin H01 Kit
- Superior AI Performance for Industrial Applications : On-device AI performance up to 200 TOPS with low power consumption and low latency.
- Palm-sized AI edge device : compact dimensions of 107.0 x 106.4 x 70.5 mm.
- Expandable with rich IO : PCIe x16, GbE, 10GbE, 3x USB 3.0, HDMI 2.1, M.2 Key M, M.2 Key E, WiFi 2.4Ghz / 5GHz, Bluetooth, 16-lane MIPI CSI-2 , 40-pin GPIO.
Pre-installed Nvidia JetPack
The Nvidia JetPack SDK provides a complete development environment and includes CUDA-X-accelerated libraries and other Nvidia technologies to accelerate development. JetPack includes the Jetson Linux Driver Pack which provides the Linux kernel, boot loader, Nvidia drivers, flashing tools, sample file system and toolchains for the Jetson platform. It also includes security features, over-the-air upgradeability, and much more.
Computer Vision, Machine Vision and Speach AI
- Nvidia DeepStream SDK provides a complete streaming analytics toolkit for AI-based 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.
- alwaysAI allows you to build, train and deploy computer vision applications directly on reComputer edge devices. It gives you free access to over 100 pre-trained computer vision models and allows you to train custom AI models in the cloud with just a few clicks with an enterprise subscription. Check out the guide .
- Edge Impulse is the easiest built-in machine learning pipeline to deploy audio, object detection classification applications
- Roboflow provides tools to convert raw images into a specially trained computer model for object classification detection and deploy the model for use in applications.
- Ultralytics' YOLOv5 : Leverage transfer learning to realize object detection with YOLOv5, which requires only a few training samples. Check out the guide .
- Deci : Optimize your models on Nvidia Jetson Nano. Check out this webinar at Deci on automated benchmarking and runtime performance optimization on Nvidia Jetson Nano and Xavier NX devices.
- Nvidia Riva is a GPU-accelerated SDK for building Speach AI apps that are tailored to your use case and deliver real-time performance.
Layout of elements on the board
- USB Type-C connector
- Status LED
- 40-pin GPIO connector
- Audio Jack
- M.2 Key Connector M
- RS485 connection
- RS232 connector
- RTC 2-pin connector
- Power button
- 16-lane MIPI CSI-2 connector
- Recovery button
- reset button
- M.2 Key E connector
- microSD card slot
- 14-pin connector
- 4-pin fan connector
- 2-pin 12V/2A power input
- HDMI 2.1 port
- Gigabit Ethernet port
- 2x USB 3.2 type A
- 10Gbps Ethernet port
- DC jack power connector
- Nvidia Jetson AGX Orin module connector
- PCIe x16 connector
Nvidia Jetson AGX Orin specs & comparison | ||
---|---|---|
Model | Jetson AGX Orin 32GB H01 Kit | Jetson AGX Orin Developer Kit |
AI performance | 200 tops | 275 tops |
GPU | 1792 Nvidia Ampere GPU cores with 56 Tensor cores | Nvidia Ampere architecture with 2048 Nvidia CUDA cores and 64 Tensor cores |
CPU | 8 Cores Nvidia Arm Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 | 12-core ARM Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
RAM | 32GB 256-bit LPDDR5 204.8GB/s | |
DL accelerator | 2x NVDLA v2.0 | |
Vision Accelerator | 1x PVA v2.0 | |
Memory capacity | 64GB eMMC 5.1 | |
video encoder | 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264) | 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) |
Video decoder | 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264) | 1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60| 24x 1080p30 (H.265) |
display | HDMI 2.1 | DisplayPort 1.4a (+MST) |
Camera | 16-lane MIPI CSI-2 connector | |
Network | 1x Ethernet 1Gbps 1x Ethernet 10Gbps |
1x Ethernet 10Gbps |
USB | 2x USB 3.2 type A 1x USB 3.2 Type-C |
2x USB 3.2 gen 2 type C with PD support 4x USB 3.2 Gen 2 Type A 1x USB 2.0 type micro |
M.2 Key M | 1x M.2 Key M | |
M.2 Key E | 1x M.2 Key E (WiFi + BT module installed 8265.NGWMG.NV 949399) | - |
Fan | 1x 4-pin (5V PWM) | 1x 4-pin |
microSD card slot | 1x microSD card slot | |
jack | 1x 3.5mm audio jack | - |
RTC | 2-pin | |
RS485 | 1x RS485 | - |
RS232 | 1x RS232 | - |
Other | 40-pin connector, 1x SPI (3.3 V), 6x GPIO (3.3 V), 1x CAN, Force Recovery, Reset and Power button, 12 V / 2 A 2-pin power output | 40-pin connector, 12-pin automation connector, 10-pin audio panel connector, 10-pin jTAG connector, Force Recovey and reset button |
Power | from 9V to 20V / 8A | 19V via USB Type-C connector |
Working temperature | -25°C to 70°C | from 0°C to 35°C |
Dimensions | 107 x 106.4 x 70.5mm | 110 x 110 x 71.65mm |
Kit contents
- Jetson AGX Orin
- Seeed carrier plate
- Aluminum radiator with fan
- Aluminum housing
- Power Adapter 19V/4.74A (DC 5.5/2.5mm)