Jetson-20-1-H2 is a mini computer from Seeedstudio that already uses the NVIDIA Xavier module with a very powerful 384-core NVIDIA Volta GPU with 48 Tensor Cores which is very powerful for use for embedded AI systems such as Machine Learning or more sophisticated ones used for deep purposes. learning.
This mini computer has a small and compact size, although small this mini computer is equipped with many ports to connect to many peripherals such as keyboards, mice, displays, and so on so it is very suitable for daily use both for work and school purposes . Because of its small design, the Jetson-20-1-H2 is flexible to be placed anywhere such as on the walls of the house, office desk, study table, and so on.
Besides being used for daily use, with its good accelerator hardware capabilities, this mini computer is very powerful to be used as the main controller for robots. Such as humanoid robots, autonomous AGV cars, UAV drones, and other robot projects.
Jetson-20-1-H2 is already installed with Jetpack 4.6 software (password: nvidia) which has been integrated with NVIDIA's AI platform such as containers with docker and other software so that it will facilitate the process of developing AI devices for developers both for robotics control, data science processing , and other fields.
For learners who are new to the world of AI, NVIDIA has provided an e-course guide to introduce how NVIDIA mini computers are used in processing data using AI which can be accessed on the https://www.nvidia.com/en-us/training/ good page both paid and free.
Features:
- Using NVIDIA Xavier NX Module
- Aluminum Case
- Integrated with NVIDIA AI Platform
- Using 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
- Uses a 384-core NVIDIA Volta GPU with 48 Tensor Cores
- JetPack 4.6 software has been installed (password: nvidia)
- Very Powerful to use for AI Device Development
- Has a large RAM capacity, which is 16GB 51.2GB/s
- Quite Low Power Consumption, at 10WONLINE ORDER
Applications :
- Detect Object Using Camera
- Robot System Integration with Robot Operating System (ROS)
- Automation System
- Data Analysis and Decision Making with AI Algorithm
- And so on
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Module Specifications:
- Model : Jetson Xavier NX 16GB
- AI Performance : 21 TOPS
- GPU : 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
- CPU : 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
- Memory: 16GB 128-bit LPDDR4x 59.7GB/s
- Storage: 16GB eMMC 5.1
- Power: 10W | 15W | 20W
- PCIe : 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s
- CSI Camera : up to 6 cameras (24 via virtual channels), 14 Lanes (3x4 or 6x2) MIPI CSI-2, D-PHY 1.2 (up to 30 Gbps)
- Video Encode : 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265), 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
- Video Decode : 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265), 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
- Display : 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
- DL Accelerator : 2x NVDLA Engines
- Vision Accelerator : 7-Way VLIW Vision Processor
- Connectivity : 10/100/1000 BASE-T Ethernet
- Mechanical : 260-pin SO-DIMM Connector 69.6 x 45mm
Carrier Board Specifications:
- Jetson Module Connector : 1x Jetson SODIMM Connector, 260-pin
- USB 3.0 Type A : 4x USB 3.0 Type-A Connector
- USB Micro Type B : 1x USB Micro B, RA Female
- Ethernet Port : 1x RJ45 Gigabit Ethernet Connector (10/100/1000)
- Display Port : 1x HDMI Type A and 1x DP
- CSI Camera Connector : 2x CSI Camera (15 post, 1mm pitch, MIPI CSI-2)
- M.2 Key E : 1x M.2 Key E Slot (75-pin) 2230
- M.2 Key M : 1x M.2 Key M Slot (75-pin) NVME 2280
- Multifunctional Port : 2.0 Pitch 40 Pin
- Button Header : 1x Button Header
- Fan Connector : 1x Picoblade Header
- Can : 1x CAN Bus Header (1x4, 2.54mm pitch, RA)
- RTC : 1x RTC Back-up Coin Cell Socket (CR1220)
- Power : 1x DC Input Power TE Connector
Documents :
1. Datasheet Jetson-20-1-H2 (Link)
2. reComputer User Guide (Link)
3. Getting Started with Allxon on NVIDIA Jetson Devices (Link)
Comparison Table
| Product name : | Xavier NX Dev Kit | Jetson-20-1-H2 |
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| AI Performance: | 21 TOPS | |
| GPU : | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores | |
| CPU : | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 | |
| Memory: | 8 GB 128-bit LPDDR4x @ 51.2GB/s | 16 GB 128-bit LPDDR4x @59.7GB/s |
| Storage : | microSD (Card not included) | 16 GB eMMC |
| Video Encode : | 2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264) | 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) |
| Video Decode : | 2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265) | 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) |
| Connectivity: | 1x RJ45 Gigabit Ethernet Connector (10/100/1000) | |
| Port USB : | 4x USB 3.1 Type A Connectors; 1x Micro-USB port for Device mode; | 4x USB 3.0 Type A Connectors； 1x Micro-USB port for Device mode; |
| HDMI : | 1x HDMI Type A+ 1x DP | |
| M.2 Key M : | 1x M.2 Key M | |
| RTC : | None | 1x RTC Socket |
| Power : | DC Jack 19V 90W 4.74A Max | |
| Dimensions: | 103 x 90.5 x 31mm | 130 x 120 x 50mm (dengan case) |
