reComputer J2021 Edge AI Device with Jetson Xavier NX 8GB module, 4xUSB, M.2 Key E & Key M Slot, Aluminum case, Pre-installed JetPack System

SKU: 1252361
In Stock

69,999.00

  1. 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
  2. 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
  3. port, 4 USB 3.0 Type-A ports, HDMI port and DP ports
  4. DC Jack 19V 90W 4.74A MAX
  5. 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
  6. 8 GB 128-bit LPDDR4x @ 51.2GB/s
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Description

Jetson Xavier is an AI computer for Autonomous Machines with the performance of a GPU workstation in under 30W. The Jetson Xavier Developer Kit with Jetson Xavier module and reference carrier board is the fastest way to start prototyping with robots, drones and other autonomous machines The hardware and software for the NVIDIA Jetson series really do make an excellent platform for learning about AI.

It’s easy to install and learn a vast range of industry-standard software, and the GPIOs mean that your machine can interact with the real world, It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices Here are the full specs for the Jetson Xavier NX in both 10W and 15W operating modes. One will see features like support for multiple cameras and PCIe Gen3. One will also note that NVIDIA is still using 10/100/1000 Ethernet and not Wi-Fi on this model Jetson Nano can do concurrent copy and kernel execution with 1 copy engine. We can see that for the simplest image processing pipeline for 2K image on NVIDIA Jetson Nano we can reach 100 fps performance.


Features: 

  1. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.
  2. Powered by the 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3.
  3. 384-core NVIDIA Volta™ GPU with 48 Tensor Cores delivers 21 TOPS AI performance.
  4. Rich peripherals including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP ports.
  5. Pre-installed NVIDIA official JetPack software, ready for cloud native application.
  6. Able to mount on the wall with mounting holes on the back.
  7. Support wide range of AI application fast building with our ecosystem partners.
  8. Support Allxon to enable efficient remote hardware management services.

Packages Includes: 

1 x Aluminum Frame
1 x Jetson Xavier NX module
1 x Carrier board
1 x 12V/5A (MAX 60W) Power Adapter (Power cable not included)

Additional information

CPU

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3

GPU

384-core NVIDIA Volta™ GPU with 48 Tensor Cores

Storage

16 GB eMMC 5.1 Flash

Memory

8 GB 128-bit LPDDR4x 59.7GB/s

Display

2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0

PCIe

1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s*

Camera

14 lanes (3×4 or 6×2) MIPI CSI-2, D-PHY 1.2 (up to 30 Gbps), Up to 6 cameras (24 via virtual channels)

Power

10 W, 15 W, 20 W

Networking

10/100/1000 BASE-T Ethernet

Video encoder

2x 4K60, 4x 4K30, 10x 1080p60, 20x 1080p30 (H.264), 2x 4K60, 4x 4K30, 10x 1080p60, 22x 1080p30 (H.265)

DL Accelerator

2x NVDLA Engines

Vision Accelerator

7-Way VLIW Vision Processor

Video decoder

2x 4K60, 6x 4K30, 10x 1080p60, 22x 1080p30 (H.264), 2x 8K30, 6x 4K60, 12x 4K30, 22x 1080p60, 44x 1080p30 (H.265)

Mechanical

260-pin SO-DIMM connector 69.6 mm x 45 mm

Length (mm)

103

Width (mm)

90.5

Height (mm)

31

Weight (g)

0.35

Quick Comparison

SettingsreComputer J2021 Edge AI Device with Jetson Xavier NX 8GB module, 4xUSB, M.2 Key E & Key M Slot, Aluminum case, Pre-installed JetPack System removeLattePanda Delta 432 – Tiny Ultimate Windows / Linux Device 4GB/32GB removeBeagleBone Black Industrial AM3358 ARM Cortex-A8, 512MB RAM, 4GB eMMC, USB Interface removeLattePanda V1- 4GB/64GB with Enterprise License removeCY8CKIT-PSOC-024LP, PSOC Family Processor Modules with LCD Display Development Kit removeSenseCAP M4 Square – FluxNode 4 core, 512 GB SSD, 8GB RAM remove
NamereComputer J2021 Edge AI Device with Jetson Xavier NX 8GB module, 4xUSB, M.2 Key E & Key M Slot, Aluminum case, Pre-installed JetPack System removeLattePanda Delta 432 – Tiny Ultimate Windows / Linux Device 4GB/32GB removeBeagleBone Black Industrial AM3358 ARM Cortex-A8, 512MB RAM, 4GB eMMC, USB Interface removeLattePanda V1- 4GB/64GB with Enterprise License removeCY8CKIT-PSOC-024LP, PSOC Family Processor Modules with LCD Display Development Kit removeSenseCAP M4 Square – FluxNode 4 core, 512 GB SSD, 8GB RAM remove
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Description
  1. 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
  2. 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
  3. port, 4 USB 3.0 Type-A ports, HDMI port and DP ports
  4. DC Jack 19V 90W 4.74A MAX
  5. 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)
  6. 8 GB 128-bit LPDDR4x @ 51.2GB/s
  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4
  • Octavo Systems OSD3358 1GHz ARM® Cortex-A8 Processor
  • 512MB DDR3 RAM
  • 4GB 8-bit eMMC onboard flash storage
  • 3D graphics accelerator
  • NEON floating-point accelerator

 

  1. Intel Cherry Trail Z8350 Quad-Core Processor
  2. Base Frequency: 1.44GHz (1.92GHz Burst Frequency)
  3. Operating System: Windows 10 Enterprise LTSB x64 with activating key
  4. RAM: 4GB DDR3L
  5. Storage Capacity: 64GB
  1. Product: CY8CKIT-PSOC-024LP, PSOC Family Processor Modules with LCD Display Development Kit
  2. Core Architecture: M8C
  3. Silicon Core Number: CY8C24093
  4. No. of Bits: 8bit
  5. Kit Contents: Board, QuickStart Guide, Safety Leaflet
  1. Processor: Intel Celeron J4125 (Frequency: 2.0 – 2.7GHz)
  2. Coprocessor: Raspberry pi@ RP2040 32bit Dual-core Arm Cortex M0+
  3. Graphics: Intel UHD Graphics 600 (Frequency: 250 – 750MHz)
  4. Memory: LPDDR4 8GB
  5. Storage: Internal 512GB SSD
Content

Jetson Xavier is an AI computer for Autonomous Machines with the performance of a GPU workstation in under 30W. The Jetson Xavier Developer Kit with Jetson Xavier module and reference carrier board is the fastest way to start prototyping with robots, drones and other autonomous machines The hardware and software for the NVIDIA Jetson series really do make an excellent platform for learning about AI.

It’s easy to install and learn a vast range of industry-standard software, and the GPIOs mean that your machine can interact with the real world, It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices Here are the full specs for the Jetson Xavier NX in both 10W and 15W operating modes. One will see features like support for multiple cameras and PCIe Gen3. One will also note that NVIDIA is still using 10/100/1000 Ethernet and not Wi-Fi on this model Jetson Nano can do concurrent copy and kernel execution with 1 copy engine. We can see that for the simplest image processing pipeline for 2K image on NVIDIA Jetson Nano we can reach 100 fps performance.


Features: 

  1. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.
  2. Powered by the 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3.
  3. 384-core NVIDIA Volta™ GPU with 48 Tensor Cores delivers 21 TOPS AI performance.
  4. Rich peripherals including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP ports.
  5. Pre-installed NVIDIA official JetPack software, ready for cloud native application.
  6. Able to mount on the wall with mounting holes on the back.
  7. Support wide range of AI application fast building with our ecosystem partners.
  8. Support Allxon to enable efficient remote hardware management services.

Packages Includes: 

1 x Aluminum Frame
1 x Jetson Xavier NX module
1 x Carrier board
1 x 12V/5A (MAX 60W) Power Adapter (Power cable not included)

LattePanda 2 Delta is a high-performance, pocket-sized SBC (single board computer) with low power consumption that runs full Windows 10 or Linux operation systems. It is widely used in edge computing, vending, advertising machine, industrial automation, etc. Whether you’re a DIY maker, IoT (Internet of Things) developer, system integrator, or solution provider, LattePanda is your powerful development board that can empower creation and accelerates your productivity.

The LattePanda 2 Delta, based on Intel Celeron N4100, is a Quad-Core 1.1GHz CPU that bursts up to 2.4GHz, Intel UHD Graphics 600 integrated into the processor delivers enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 6W power, which is the perfect choice in terms of features and price as the main robotics controller, interactive project core, IoT edge device, or AI brain.

The LattePanda is perfect for makers alike who need a small, portable, and light SBC for their ultimate project! DIY project running Windows or Linux, LattePanda SBC has been a popular hit and choice for many people who wish to enjoy playing all of their old and new favorites from one small, powerful system. Given its incredibly small size, it can be easily hidden, functioning as the secretly powerful brains behind your coolest project ever.


Features:

  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4

Specifications:

  1. CPU: Intel Celeron N4100
  2. Core: 1.1-2.4GHz Quad-Core, Four-Thread
  3. Graphics: Intel HD Graphics 600, 200-700MHz
  4. RAM: 4G LPDDR4 2400MHz
  5. External Memory:
    1. 1x M.2 M Key, PCIe 2x, Supports NVMe and PCIe SSD
    2. 1x M.2 E Key, PCIe 2x, Supports USB2.0, UART
  6. Connectivity:
    1. WIFI 802.11 AC, 2.4G & 5G
    2. Dual-Band Bluetooth 5.0
    3. Gigabit Ethernet
  7. USB Ports:
    1. 3x USB 3.0 Type A
    2. 1x USB Type C, supports PD, DP, USB 3.0
  8. Display:
    1. HDMI Output
    2. Type-C DP Support
    3. Extendable eDP touch displays
  9. Co-processor: Arduino Leonardo
  10. GPIO & Other Features: 2x 50p GPIOs including I2C, I2S, USB, TTL, UART, RTC, Power Management, Extendable power button, everything you need
  11. OS Support: Windows 10 Pro, Linux, Ubuntu
  12. Dimension: 115 x 78 x 14 mm

Useful Links:

  1. LattePanda official community
  2. LattePanda Documentation
  3. FCC/CE Certifications
  4. Tutorial: Install Linux
  5. Tutorial: Adjust Cooling Fan

Package Includes:

1 x LattePanda Delta 432

1 x Active Cooling Fan (Assembled)

1 x 45w PD Power Adapter (with EU & US Standard Power Cord)

2 x Dual-band Antenna

1 x RTC Battery (Assembled)

1 x User Manual

The BeagleBone Black Wireless is a low-cost, credit-card-sized development platform with good support from a fast-growing community. Replacing the 10/100 Ethernet port with onboard 802.11 b/g/n 2.4GHz WiFi and Bluetooth, the BeagleBone Black computer now comes with built-in wireless networking capability. BeagleBone Black Wireless is the easiest to use and modify IoT Linux computer of its size. Ultimately, the BeagleBone Black Wireless is still perfect for physical computing and smaller embedded applications.

With plenty of I/O and processing power for real-time analysis provided by the Octavo Systems OSD3358 1GHz ARM Cortex-A8 processor, BeagleBone Black Wireless can be complemented with cape plug-in boards, which augment Black’s functionality.

At more than 3 million Dhrystone operations per second and vector floating point arithmetic operations, the BeagleBone Black Wireless is capable of not just interfacing to all of your robotics motor drivers, location or pressure sensors, and 2D or 3D cameras, but also running OpenCV, OpenNI and other image collection and analysis software to recognize the objects around your robot and the gestures you might make to control it.

Like BeagleBone Black, the wireless version retains HDMI output, serial debug port, PC USB interface, USB 2.0 host, and reset and power buttons. This version adds two more status LEDs for WiFi and Bluetooth. Also retained is the 4GB of onboard eMMC memory with Debian Linux pre-installed, allowing BeagleBone Black Wireless to boot in around 10 seconds, and have you developing through your web browser in less than 5 minutes using just a single USB cable.

Note: These are BeagleBone Black Wireless Compliant boards made by Element14. Though these may not be made by the good folks at BeagleBoard, each BBB is officially recognized by them, and the computers are identical in both form and function. For more information, check out BeagleBoard’s Compliant Program.


Features:

  • Sitara AM3358BZCZ100 1GHz, 2000 MIPS ARM Cortex-A8 32-Bit RISC microprocessor
  • Programmable real-time unit subsystem
  • PS65217C PMIC is used along with a separate LDO to provide power to the system
  • SD/MMC connector for microSD
  • Debug support: optional on-board 20-pin CTI JTAG, serial header
  • HS USB 2.0 client and host ports

Specifications:

  • Octavo Systems OSD3358 1GHz ARM® Cortex-A8 Processor
  • 512MB DDR3 RAM
  • 4GB 8-bit eMMC onboard flash storage
  • 3D graphics accelerator
  • NEON floating-point accelerator
  • 2x PRU 32-bit microcontrollers
  • Connectivity:
    • USB client for power and communications
    • USB host
    • 802.11b/g/n and Bluetooth 4.1 plus BLE
    • HDMI
    • 2x 46 pin headers
  • Software Compatibility:
    • Debian with Cloud9 IDE on Node.js with BoneScript library
    • Third-party support for Android and Ubuntu

 


Package Includes:

1 x BeagleBone Black Wireless

1 x 3ft USB-A to Mini-B USB Cable

 

 

You are viewing a 4GB RAM LattePanda Windows 10 mini PC with 64GB eMMC memory. This model of LattePanda V1 – 4GB/64GB includes an activated edition of Windows 10 Enterprise LTSB.

Based on the full version of Windows 10 Professional, Windows 10 Enterprise LTSB is designed for the professional application market. Not only can you run normal windows applications such as Office, Visual Studio, and Processing.

Via the attached advanced tools such as AppLocker, BitLocker, and Hyper-V, you can also have the highest level of security and management capabilities. From home servers to digital signage, this operating system can be the basis for your next big project.

But Wait! A LattePanda also includes an integrated Arduino compatible co-processor, using hundreds of mature development platforms such as Johnny Five and Cylon, you can easily use it to control and sense the physical world!

Whether you are a Windows developer, IoT developer, DIY fanatic, interactive designer, robotics whizz, or maker, a LattePanda single-board computer can aid your creative process!


Specifications and Features:

  1. Intel Cherry Trail Z8350 Quad-Core Processor
  2. Base Frequency: 1.44GHz (1.92GHz Burst Frequency)
  3. Operating System: Windows 10 Enterprise LTSB x64 with activating key
  4. RAM: 4GB DDR3L
  5. Storage Capacity: 64GB
  6. GPU: Intel HD Graphics, 12 EUs @200-500Mhz, single-channel memory
  7. USB 3.0 x 1, USB 2.0 x 2
  8. Wi-Fi 802.11n 2.4G
  9. Bluetooth 4.0
  10. Integrated Arduino Co-processor: ATmega32u4 (Arduino Leonardo)
  11. Video output: HDMI and MIPI-DSI
  12. Onboard touch panel overlay connector
  13. Supports 100Mbps Ethernet
  14. Intel Processor GPIO x 6
  15. ATmega Processor GPIO x 20
  16. Gravity Interface Connectors x 6
  17. Voltage: 5V@2A
  18. Board Dimensions: 88 x 70mm / 3.46 x 2.76″
  19. Package Dimensions: 110 x 94 x 30 mm/4.33 x 3.70 x 1.18″
  20. NET Weight: 55g
  21. Gross Weight: 100g

Useful Links:


Package Includes:

1 x LattePanda 4G/64GB

1 x WiFi Antenna

1 x Printed Safety Precautions

1 x Windows10 Enterprise LTSB Activate Manual

The CY8CKIT-PSOC-024LP is a low-power PSoC1 kit that features CY8C24x93 IC that provides advanced peripheral options in a low-cost, low-pin count package. PSoC 1 development kit can be both a standalone development kit or integrated and plugged into any compatible Arduino development platform, such as the Uno, Due, and Mega boards. Users will develop applications using the PSoC designer IDE platform. The CY8C24x93 device is ideal for battery or handheld applications with a 1.1mA current draw in active mode, 1.07 µA in standby mode, and 100nA in deep sleep mode operation with the ability to wake up from an interrupt.


Features:

  1. CY8C24x93 device
  2. Thermistor and humidity analog sensors
  3. Potentiometer, 4-segment LCD
  4. IR LED for remote control
  5. Powered through USB

Package Includes:

1 x CY8CKIT-PSOC-024LP, PSOC Family Processor Modules with LCD Display Development Kit

FluxNode 4 core 512 GB SSD 8GB RAM Square is a plug-and-play FluxNode powered by FluxOS that supports a potential extension for other web3.0 dAPPs.

FluxOS is a revolutionary second-layer operating system that allows hardened dockerized apps to run on Flux’s fully decentralized computational network, making it highly resilient to both system failure and outside attempts of censorship. Powered by FluxOS, SenseCAP M4 Square provides easy and friendly methods to deploy CUMULUS FluxNode with SenseCAP Hotspot App.

Plug and Play

SenseCAP M4 Square provides the easiest way to deploy CUMULUS FluxNode. No Linux command, No need to build an environment, and only 4 steps to finish the deployment.

  • Step 1: Power up and connect to the internet
  • Step 2: Install and login SenseCAP Hotspot App
  • Step 3: Connect App to SenseCAP M4 Square via Bluetooth
  • Step 4: Input FluxNode Info and start to deploy, then SenseCAP M4 Square will deploy FluxNode automatically

Features:

  • Plug and Play: Provide a no-code experience that enables users to finish the deployment of CUMULUS FluxNode with 4 steps.
  • Support Multiple Apps: Deploy multiple applications provided by SenseCAP from the dApp center. The first App is Flux, more Apps coming soon.
  • Cloud Service: Provide a one-stop cloud service to help users purchase, deploy, manage, and monitor their devices.
  • Excellent Performance: Powered by Intel® Celeron® J4125 (Frequency: 2.0 – 2.7GHz) with 4 cores and 4 threads. Built-in TPM2.0 cryptographic processor and ECC608 crypto chip, high-security authentication, and reliable connectivity.
  • Low Power Consumption: 10w low power consumption, 7.2 kWh per month.

Specifications:

  1. Processor: Intel® Celeron® J4125 (Frequency: 2.0 – 2.7GHz)
  2. Coprocessor: Raspberry pi@ RP2040 32bit Dual-core Arm Cortex M0+
  3. Graphics: Intel UHD Graphics 600 (Frequency: 250 – 750MHz)
  4. Memory: LPDDR4 8GB
  5. Storage: Internal 512GB SSD
  6. Wireless: Wi-Fi 802.11 a/b/g/n/ac @ 2.4/5 GHz HT160
  7. Networking: Intel®226-V PCIe2.5GbE LAN, Supports Wake-On-LAN, Supports PXE
  8. Audio: Microphone + headphone Combo Connector
  9. USB: USB 2.0 Type-A x2, USB 3.1 Type-A x1, USB 3.1 Type-C x1
  10. Video Interfaces: HDMI2.0a: Up to 4096×2160 @ 60Hz 24bpp / DP1.2a: Up to 4096×2160 @ 60Hz 24bpp
  11. Expansion Slots: M.2(Key B, 2242/2280): SATA III, USB2.0, UIM; M.2 (Key M, 2242/2280): PCIe 2.0 ×4; Micro SD card Socket; SIM Card Socket; SATA III
  12. Operating temperature: 0°C~45°C
  13. Storage temperature: -20°C~60°C
  14. TPM: Built-in TPM 2.0
  15. Power: DC Jack 5.5/2.1mm or Type-C PD; DC Jack input: 12-19V DC; Type-C input: 15V DC
  16. Dimensions: 130x120x50mm
  17. Weight: 200gm

Package Includes:

1 x SenseCAP M4 Square – FluxNode 4 core, 512 GB SSD, 8GB RAM Kit

Kit contents

1 x SenseCAP M4 Square – FluxNode

1 x Power supply with adapters

1 x Instruction

1 x Stickers

Weight
DimensionsN/AN/AN/AN/AN/AN/A
Additional information
CPU

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3

GPU

384-core NVIDIA Volta™ GPU with 48 Tensor Cores

Storage

16 GB eMMC 5.1 Flash

Memory

8 GB 128-bit LPDDR4x 59.7GB/s

Display

2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0

PCIe

1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s*

Camera

14 lanes (3×4 or 6×2) MIPI CSI-2, D-PHY 1.2 (up to 30 Gbps), Up to 6 cameras (24 via virtual channels)

Power

10 W, 15 W, 20 W

Networking

10/100/1000 BASE-T Ethernet

Video encoder

2x 4K60, 4x 4K30, 10x 1080p60, 20x 1080p30 (H.264), 2x 4K60, 4x 4K30, 10x 1080p60, 22x 1080p30 (H.265)

DL Accelerator

2x NVDLA Engines

Vision Accelerator

7-Way VLIW Vision Processor

Video decoder

2x 4K60, 6x 4K30, 10x 1080p60, 22x 1080p30 (H.264), 2x 8K30, 6x 4K60, 12x 4K30, 22x 1080p60, 44x 1080p30 (H.265)

Mechanical

260-pin SO-DIMM connector 69.6 mm x 45 mm

Length (mm)

103

Width (mm)

90.5

Height (mm)

31

Weight (g)

0.35

Core Architecture:

M8C

Core Sub-Architecture:

M8C

Silicon Core Number:

CY8C24093

Kit Contents:

Board, QuickStart Guide, Safety Leaflet

No. of Bits:

8bit

Silicon Family Name:

PSOC 1