Wednesday, April 20, 2022

Jetson-10-1-A0 Jetson Nano Module M.2 Key E Slot Type-C Power Supply with reComputer Aluminium Case and Pre-installed JetPack System

Jetson-10-1-A0 Jetson Nano Module M.2 Key E Slot Type-C Power Supply with reComputer Aluminium Case and Pre-installed JetPack System


Jetson 10-1-A0 is a mini computer that uses the NVIDIA Jetson Nano module as its main processing. This mini computer is very powerful for daily use and for AI activities even for data processing using Deep Learning with AI performance up to 0.5 TFLOPs (FP16).

This mini computer has been installed with System Jetpack 4.6 which already has NVIDIA Container Runtime which is integrated with Docker so that it can be directly accessed in headless mode.

This mini computer also uses CUDA technology so that this mini computer can perform parallel computing efficiently. In addition to being powerful for AI, this mini computer can be used for Robot Operating System (ROS) in the development of robotics in terms of software.


Feature :

    • Using NVIDIA Jetson Nano Module
    • Menggunakan Quad-core ARM Cortex-A57 MPCore Processor
    • Menggunakan 128-core NVIDIA Maxwell GPU with 128 NVIDIA Cuda cores delivers 0.5 TFLOPs (FP16)
    • Equipped with Many Peripheral Ports
    • Very Powerful Used for AI & Deep Learning Needs



Application :

    • Robotics Intelligent Control
    • Data Processing with AI Frameworks such as TensorFlow and so on
    • For Autonomous Car Prototype
    • Penerapan Classification Image dan Regression
    • Image Image Processing
    • And so on

NVIDIA Jetson Nano Module Specifications:

    • GPU : NVIDIA Maxwell Architecure with 128 NVIDIA CUDA cores 0.5 TFLOPs (FP16)
    • CPU : Quad-core ARM Cortex-A57 MPCore Processor
    • Memori : 2GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
    • Storage : 16GB eMMC 5.1 Flash
    • Video Encode : 250 MP/sec (1x 4K @30 HEVC, 2x 1080p @60 HEVC, 4x 1080p @30 HEVC)
    • Video Decode : 500 MP/sec (1x 4K @60 HEVC, 2x 4K @30 HEVC, 4x 1080p @60 HEVC, 8x 1080p @30 HEVC)
    • Camera : 12 Lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
    • Connectivity : M.2 Key M and 10/100/1000 BASE-T Ethernet
    • Display : HDMI 2.0 atau DP1.2 | eDP 1.4 | DSI (1x2)2 Simultaneous
    • UPHY : 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
    • I/O : 1x SDIO/ 2x SPI/ 4x I2C/ 2x I2S/ GPIOs
    • Dimensions: 69.6 x 45mm
    • Mechanical : 260 pin Edge Connector

Carrier Board Specifications:

    • Jetson Module Connector : 1x Jetson SODIMM Connector (260 pin)
    • USB 3.0 Type A : 4x USB 3.0 Tipe A
    • USB Micro Type B : 1x Mikro USB
    • Port Ethernet : 1x RJ45 Gigabit Ethernet Connector (10/100/1000)
    • Port Display : 1x HDMI Type A dan 1x DP
    • Connector Camera CSI: 2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2)
    • 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
    • Connector FAN: 1x Picoblade Header
    • CAN : Diasabled
    • RTC : 1x RTC Back-up Coin Cell Socket (CR1220)
    • Power : 1x DC Input Power TE 12V 2A

Sales Package:

    • 1x Cover Acrylic
    • 1x Aluminium Frame
    • 1x Module Jetson Nano
    • 1x Heatsink
    • 1x Carier Board
    • 1x 12V/2A Power Adapter

Comparison table NVIDIA Jetson Nano 2GB Developer Kit and Jetson-10-1-A0

Product nameJetson Nano 2GB Developer KitreComputer Jetson-10-1-A0
Picture
AI Perf472 GFLOPS
GPU128-core NVIDIA Maxwell™
CPUQuad-core ARM A57 @ 1.43 GHz
Memory2GB 64-bit LPDDR4 25.6GB/s4GB 64-bit LPDDR4 25.6GB/s
StoragemicroSD (Card not included)16 GB eMMC
Video Encoder4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)4K30 | 2x1080p60 | 4x1080p30 |
4x720p60 | 9x720p30 (H.265 & H.264)
Video Decoder4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60
(H.265 & H.264)
Gigabit Ethernet1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB1x USB 3.0 Type A Connector; 2x USB 2.0 Type A Connector; 1x Micro-USB port for Device mode; 1x USB Type C for 5V power input1x USB 3.0 Type A Connector; 2x USB 2.0 Type A Connector; 1x USB Type C for Device mode;
1x USB Type C for 5V power input
CSI Camera Connect1x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2)2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2)
Display1x HDMI Type A; 1*DP
FanNone1x FAN(5V PWM)
M.2 KEY ENone1x M.2 Key E
RTC-1x RTC socket



Jetson-10-1-H0 Jetson Nano Module with reComputer Aluminium Case and Pre-installed JetPack System

Jetson 10-1-H1 is a mini computer that uses the NVIDIA Jetson Nano module as its main processing. This mini computer is very powerful to be used for daily use as well as for AI activities even for data processing using Deep Learning with AI performance up to 0.5 TFLOPs (FP16).

ONLINE ORDER

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.

This mini computer has been installed with System Jetpack 4.6 which already has NVIDIA Container Runtime which is integrated with Docker so that it can be directly accessed in headless mode.

This mini computer also uses CUDA technology so that this mini computer can perform parallel computing efficiently. Besides being powerful for AI, this mini computer can be used for Robot Operating System (ROS) in the development of robotics in terms of software.


Feature :

    • Using NVIDIA Jetson Nano Module
    • Menggunakan Quad-core ARM Cortex-A57 MPCore Processor
    • Menggunakan 128-core NVIDIA Maxwell GPU with 128 NVIDIA Cuda cores delivers 0.5 TFLOPs (FP16)
    • Equipped with Many Peripheral Ports
    • Very Powerful Used for AI & Deep Learning Needs


Application :

    • Robotics Intelligent Control
    • Data Processing with AI Frameworks such as TensorFlow and so on
    • For Autonomous Car Prototype
    • Penerapan Classification Image dan Regression
    • Image Image Processing
    • And so on

NVIDIA Jetson Nano Module Specifications:

    • GPU : NVIDIA Maxwell Architecure with 128 NVIDIA CUDA cores 0.5 TFLOPs (FP16)
    • CPU : Quad-core ARM Cortex-A57 MPCore Processor
    • Memori : 4GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
    • Storage : 16GB eMMC 5.1 Flash
    • Video Encode : 250 MP/sec (1x 4K @30 HEVC, 2x 1080p @60 HEVC, 4x 1080p @30 HEVC)
    • Video Decode : 500 MP/sec (1x 4K @60 HEVC, 2x 4K @30 HEVC, 4x 1080p @60 HEVC, 8x 1080p @30 HEVC)
    • Camera : 12 Lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
    • Connectivity : M.2 Key M and 10/100/1000 BASE-T Ethernet
    • Display : HDMI 2.0 atau DP1.2 | eDP 1.4 | DSI (1x2)2 Simultaneous
    • UPHY : 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
    • I/O : 1x SDIO/ 2x SPI/ 4x I2C/ 2x I2S/ GPIOs
    • Dimensions: 69.6 x 45mm
    • Mechanical : 260 pin Edge Connector


Carrier Board Specifications:

    • Jetson Module Connector : 1x Jetson SODIMM Connector (260 pin)
    • USB 3.0 Type A : 4x USB 3.0 Tipe A
    • USB Micro Type B : 1x Mikro USB
    • Port Ethernet : 1x RJ45 Gigabit Ethernet Connector (10/100/1000)
    • Port Display : 1x HDMI Type A dan 1x DP
    • Connector Camera CSI: 2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2)
    • 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
    • Connector FAN: 1x Picoblade Header
    • CAN : Disabled
    • RTC : 1x RTC Back-up Coin Cell Socket (CR1220)
    • Power : 1x DC Input Power TE

Sales Package:    Onlne Order

    • 1x Cover Acrylic
    • 1x Aluminium Frame
    • 1x Module Jetson Nano
    • 1x Heatsink
    • 1x Carier Board
    • 1x 12V/2A Power Adapter
Comparison:
Product name :NVIDIA Jetson Nano Developer Kit-B01Jetson-10-1-H0
       
AI Performance :472 GFLOPS
GPU :128-core NVIDIA Maxwell
CPU :Quad-core ARM A57 @1.43GHz

Memory:4GB 64-bit LPDDR4 25.6GB/s

Storage :microSD (Card not included)16 GB eMMC
Video Encode :4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 & H.264)
Video Decode :4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)
Connectivity:1x RJ45 Gigabit Ethernet Connector (10/100/1000)
Port USB :4x USB 3.0 Type A Connector; 1x Micro-USB port for 5V Power Input or for Device Mode4x USB 3.0 Type A Connectorl 1x Micro-USB port for Device Mode;
CSI Camera Connect :2x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2)
HDMI :1x HDMI Type A+ 1x DP
M.2 Key M :None1x M.2 Key M
M.2 Key E :1x M.2 Key E1x M.2 Key E (Disabled)
RTC :None1x RTC Socket
Power :DC Jack 5V 3A; Micro-USB 5V 2ADC Jack 12V 2A
Mechanical :100 x 80 x 29mm130 x 120 x 50mm (dengan case)