Overview
Jetson AGX Orin 32GB H01 Kit is a developer kit from Seeed Studio built on the NVIDIA Jetson AGX Orin 32GB module, rated by Seeed at 200 TOPS. Its GPU is 1792-core NVIDIA Ampere GPU with 56 Tensor Cores. It carries 32 GB 256-bit LPDDR5 204.8 GB/s. Seeed publishes a fixed price for this configuration.
Key Features
- Jetson AGX Orin 32GB module rated at 200 TOPS
- GPU: 1792-core NVIDIA Ampere GPU with 56 Tensor Cores
- CPU: 8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
- Memory: 32 GB 256-bit LPDDR5 204.8 GB/s
- Storage: 64GB eMMC 5.1
- Camera input: 1* 16 lane MIPI CSI-2 connector
Ideal For
developers prototyping on the Jetson AGX Orin 32GB before committing to a production carrier
Specifications
Jetson AGX Orin 32GB H01 Kit
AI Performance
200 TOPS
GPU
1792-core NVIDIA Ampere GPU with 56 Tensor Cores
CPU
8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
Memory
32 GB 256-bit LPDDR5 204.8 GB/s
DL Accelerator
2 x NVDLA v2.0
Vision Accelerator
1 x PVA v2.0
Storage
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)
Video Decoder
1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264)
Display
1* HDMI 2.1
Camera
1* 16 lane MIPI CSI-2 connector
Networking
1* GbE 1* 10GbE
USB
2x USB 3.2 Type-A (Integrated USB 2.0), 1x USB 3.2 Type-C (Integrated USB 2.0)
M.2 Key M
1* M.2 Key M
M.2 Key E
1* M.2 Key E (pre-installed WIFI+BT：8265.NGWMG.NV 949399)
Fan
1* 4-pin fan (5V PWM)
microSD card slot
1 * microSD card slot
Audio Jack
1* 3.5mm audio jack
RTC
2-pin RTC
RS485
1* RS485(3P 1.5mm pitch)
RS232
1* RS232(3P 1.5mm pitch)
Others
40-pin header, 1* SPI Bus(+3.3V Level), 6* GPIO(+3.3V Level), 1x CAN, Force Recovery, Reset and Power ON/ OFF buttons, 12V/2A 2-pin power output
Power Supply
+9---+20V DC Input @ 8A
Mechanical
107mm x 106.4mm x 70.5mm
Operating Temperature
-25 ⁰C to +70 ⁰C
Jetson AGX Orin 32GB
×1
Seeed carrier board
×1
Aluminum heatsink with fan
×1
Aluminum case
×1
19V/4.74A(Barrel Jack 5.5/2.5mm) power adapter
×1
Brilliant AI Performance for production
on-device processing with up to 200 TOPS AI performance with low power and low latency.
Hand-size edge AI device
compact size at 107mm x 106.4mm x 70.5mm, includes Jetson AGX Orin™ production module, a heatsink with a cooling fan, enclosure, and a power adapter.
Expandable with rich I/Os
PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, 2.4/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, 40-Pin header.
Accelerate solution to market
pre-installed JetPack 5.0.2, Linux OS BSP, support Jetson software and leading AI frameworks and software platforms.
Feature
NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
Feature
NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
alwaysAI
build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.
Edge Impulse
the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
Feature
Roboflow provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the full documentation for deploying to NVIDIA Jetson with Roboflow.
YOLOv5 by Ultralytics
use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials
Deci
optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
Feature
NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
Feature
NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about NVIDIA Developer Tools
Feature
Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our webinar on connecting your ROS Project to the Cloud with Nimbus.
Feature
Traffic management license plate detection car detection pedestrian detection
Feature
license plate detection
Feature
car detection
Feature
pedestrian detection
Industry 4.0
helmet detection, hard hat detection, and custom PPE detection visual anomaly detection using NVIDIA Deepstream IoT
Feature
helmet detection, hard hat detection, and custom PPE detection
Feature
visual anomaly detection using NVIDIA Deepstream IoT
Retail
sentiment analysis(webinar: learn your customer with AI by Zenus smart camera), retail store items detection
sentiment analysis(webinar
learn your customer with AI by Zenus smart camera),
Feature
retail store items detection
Robotics
under-ice sensing ROV warehouse towing robot
Feature
under-ice sensing ROV
Feature
warehouse towing robot
Edge AI into the Wild
Wildfire detection
Agriculture
weeding machines, Tractors, Livestock detection
Healthcare
medical imaging analysis
Prices may vary. Verify on vendor site.
Quick Specs
- Specifications
- Jetson AGX Orin 32GB H01 Kit
- AI Performance
- 200 TOPS
- GPU
- 1792-core NVIDIA Ampere GPU with 56 Tensor Cores
- CPU
- 8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
- Memory
- 32 GB 256-bit LPDDR5 204.8 GB/s
- DL Accelerator
- 2 x NVDLA v2.0