reComputer J1010 Edge AI Device with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System

SKU: 1252359
In Stock

20,999.00

  1.  quad-core ARM® Cortex®-A57 MPCore processor
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16)
  3. Support wide range of AI application fast building with our ecosystem partners
  4. Storage: 16 GB eMMC 5.1 Flash
  5. Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
In Stock
Add to Wishlist
Add to Wishlist

Did you like this product? Add to favorites now and follow the product.

Add to Wishlist
Add to Wishlist

Description

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously.

This makes it the perfect entry-level option to add advanced AI to embedded products. While talking about Jetson Nano, Quad Core ARM Cortex-A57 which is 1.43 Ghz powerful 64 bit quad core processor Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a (1KU+) module.

Get started fast with the comprehensive JetPack SDK with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. NVIDIA Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.


Features:

  1. Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).
  3. RTC Connector
  4. M.2E Connector
  5. Module: JetSon Nano
  6. USB Type: C power Connector
  7. Rich peripherals including Gigabit Ethernet port, USB 3.0 and USB 2.0 Type-A ports, HDMI port.
  8. Pre-installed NVIDIA official JetPack software, ready for cloud native application.
  9. Able to mount on the wall, mounting holes on the back.
  10. Support wide range of AI application fast building with our ecosystem partners.
  11. Support Allxon to enable efficient remote hardware management services.
  12. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.

Packages  Includes:

1 x Jetson Nano module
1 x Acrylic Cover
1 x Aluminum Frame
1 x Heatsink
1 x Carrier board

Additional information

GPU

NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)

Display

HDMI 2.0 or DP1.2, eDP 1.4, DSI (1 x2) 2 simultaneous

Camera

12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)

I/O Ports

1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S

Connectivity

(M.2 Key M)10/100/1000 BASE-T Ethernet

Video encoder

1x 4K @ 30 (HEVC), 250 MP/sec, 2x 1080p @ 60 (HEVC), 4x 1080p @ 30 (HEVC)

Video decoder

2x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC), 500 MP/sec

UPHY

1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0

Mechanical

260-pin edge connector

Quick Comparison

SettingsreComputer J1010 Edge AI Device with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System removeLattePanda Alpha 864s (Win10 Pro activated) – Tiny Ultimate Windows / Linux Device removereComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier removeSenseCAP M4 Square – FluxNode 4 core, 512 GB SSD, 8GB RAM removeODROID-N2L with 4GByte RAM removeODROID-H3+ Single Board Computer remove
NamereComputer J1010 Edge AI Device with Jetson Nano module, M.2 Key E Slot, Type-C connectors, Aluminium case, pre-installed JetPack System removeLattePanda Alpha 864s (Win10 Pro activated) – Tiny Ultimate Windows / Linux Device removereComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier removeSenseCAP M4 Square – FluxNode 4 core, 512 GB SSD, 8GB RAM removeODROID-N2L with 4GByte RAM removeODROID-H3+ Single Board Computer remove
Image
SKU125235913588711358406151918114234721487814
Rating
Price20,999.0067,099.0012,999.0026,999.009,299.0022,599.00
Stock
In Stock
Out of stock
In Stock
Out of stock
Out of stock
In Stock
AvailabilityIn StockOut of stockIn StockOut of stockOut of stockIn Stock
Add to cart

Add to cart

Read more

Add to cart

Read more

Read more

Add to cart

Description
  1.  quad-core ARM® Cortex®-A57 MPCore processor
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16)
  3. Support wide range of AI application fast building with our ecosystem partners
  4. Storage: 16 GB eMMC 5.1 Flash
  5. Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
  1. Intel Core M3-8100Y,  Dual-Core, 1.1-3.4GHz
  2. Intel UHD Graphics 615
  3. 8GB Memory
  4. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 4.2 & Gigabit Ethernet
  5. USB3.0 x3 USB Type-C x1
  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
  9. Powered by PD adapter / 12V DC / 7.4V battery
  1. Model: reComputer J202
  2. Power supply: 3.3V
  3. PCB Size / Overall Size: 100mm x 80mm
  4. Display; 1 x  HDMI+1 x DP
  5. M.2 Key E: 1 x M.2 Key E
  6. M.2 Key M: 1 x M.2 Key M
  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
  1. Processor Amlogic S922X Processor (12nm)
  2. Quad-core Cortex-A73(2.2Ghz) and Dual-core Cortex-A53(2Ghz)
  3. ARMv8-A architecture with Neon and Crypto extensions
  4. Mali-G52 GPU with 6 x Execution Engines (800Mhz)
  5. Memory LPDDR4 4GiB or 2GiB with 32-bit bus width
  6. Data rate: 3216 MT/s
  1. Intel Pentium Quad-Core Jasper Lake N6005 @ 2GHz, up to 3.3GHz boost
  2. Up to 64 GB RAM, dual-channel DDR-PC4-23400 (2933 MT/s)
  3. Two SO-DIMM slots, up to 32GB per slot
  4. 2x 2.5Gbps Ethernet port
  5. 2 x SATA 3.0 ports
Content

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously.

This makes it the perfect entry-level option to add advanced AI to embedded products. While talking about Jetson Nano, Quad Core ARM Cortex-A57 which is 1.43 Ghz powerful 64 bit quad core processor Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a (1KU+) module.

Get started fast with the comprehensive JetPack SDK with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. NVIDIA Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.


Features:

  1. Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).
  3. RTC Connector
  4. M.2E Connector
  5. Module: JetSon Nano
  6. USB Type: C power Connector
  7. Rich peripherals including Gigabit Ethernet port, USB 3.0 and USB 2.0 Type-A ports, HDMI port.
  8. Pre-installed NVIDIA official JetPack software, ready for cloud native application.
  9. Able to mount on the wall, mounting holes on the back.
  10. Support wide range of AI application fast building with our ecosystem partners.
  11. Support Allxon to enable efficient remote hardware management services.
  12. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.

Packages  Includes:

1 x Jetson Nano module
1 x Acrylic Cover
1 x Aluminum Frame
1 x Heatsink
1 x Carrier board

The LattePanda 2 Alpha based on Intel Core m3-8100Y, is a Dual-Core 1.1GHz CPU that bursts up to 3.4GHz, Intel UHD Graphics 615 integrated into the processor delivers enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 8W 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 2 Alpha 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 Core M3-8100Y,  Dual-Core, 1.1-3.4GHz
  2. Intel UHD Graphics 615
  3. 8GB Memory
  4. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 4.2 & Gigabit Ethernet
  5. USB3.0 x3 USB Type-C x1
  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
  9. Powered by PD adapter / 12V DC / 7.4V battery

Specifications:

  1. CPU: Intel Core m3-8100y
  2. Core: 1.1-3.4GHz Dual-Core, Four-Thread
  3. Benchmark (PassMark): Up to 4128, double computing power compared with same price range products in the market
  4. Graphics: Intel HD Graphics 615, 300-900MHz
  5. RAM: 8GB LPDDR3
  6. External Memory:
  7. 1x M.2 M Key, PCIe 4x, Supports NVMe SSD and SATA SDD
  8. 1x M.2 E Key, PCIe 2x, Supports USB2.0, UART, PCM
  9. Connectivity:
    1. WIFI 802.11 AC, 2.4G & 5G
    2. Dual-Band Bluetooth 4.2
    3. Gigabit Ethernet
  10. USB Ports:
    1. 3x USB 3.0 Type A
    2. 1x USB Type C, supports PD, DP, USB 3.0
  11. Display:
    1. HDMI Output
    2. Type-C DP Support
    3. Extendable eDP touch display
  12. Co-processor: Arduino Leonardo
  13. GPIO & Other Features: 2x 50p GPIOs including I2C, I2S, USB, RS232, UART, RTC, Power Management, Extendable power button, everything you need
  14. OS Support: Windows 10 Pro, Linux Ubuntu
  15. Dimension: 115mm  x  78mm x 14 mm

Useful Links:


Package Includes:

1 x LattePanda Alpha 864s (Win10 Pro activated)

1 x Active cooling fan (Assembled)

1 x 45w PD Power adapter (with EU & US standard power cord)

1 x Dual-band antenna

1 x RTC Battery (Assembled)

1 x User Manual

reComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier NX/TX2 NX, with 4xUSB, M.2 Key M,E same size of NVIDIA Jetson Xavier NX carrier board

The reComputer J202 carrier board has nearly the same design and function as NVIDIA Jetson Xavier NX carrier board, perfectly works with Jetson Nano/Xavier NX/TX2 NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.

The carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.

reComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano / Xavier NX / TX2 NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi / BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA Jetson Xavier NX DEVELOPER KIT.

Applications:

  1. Pedestrian detection by Edge Impulse
  2. Hard hat detection and build custom PPE detection
  3. Pose Estimation with always AI
  4. Visual anomaly detection using NVIDIA Deep-stream IoT
  5. Retail store items detection
  6. Wildfire detection
  7. Animal detection

Note: For more info refer to Datasheet

 

Product Overview


Features:

  1. Perfectly suited: Design for Jetson Nano/Xavier NX/TX2 NX (260-pin SODIMM)
  2. Developer Kit carrier board alternative: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit.
  3. Rich peripherals: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.
  4. High versatility: Suitable for complicated AI graphical applications.
  5. Comprehensive certificates: FCC, CE, RoHS(Certification received in early Sept)

Packages Includes:

1 x reComputer J202

1 x 12V/5A power adapter

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

The low-cost variant of our most popular and powerful ARM SBC ODROID-N2+.

This project was actually initiated at the request of several B2B customers. They were satisfied with the performance and convenience of the highly versatile N2+. However, they wanted to embed a relatively compact, cost-effective, simple, and still high-performance SBC into their system.


Features:

  1. Smaller and neater form factor: 69 x 56mm
  2. Small size allows for mounting inside a variety of small devices
  3. Suitable for various standalone embedded systems which don’t require Ethernet connectivity
  4. Suitable for building robots, drones, arcade consoles, human-machine-interface devices, and many other applications
  5. Faster and lower power consumption LPDDR4 RAM
  6. Lightweight
  7. Low cost

Package Includes:

1 x ODROID-N2L with 4GByte RAM

The Odroid H3+ single-board computer is based on the quad-core Intel Pentium Jasper Lake N6005 processor clocked at 2 GHz (up to 3.3 GHz in boost mode) with 1.5 MB L2 cache and 4 MB L3 cache, created in 10 nm technology. It has two slots for DDR4-PC4-23400 SO-DIMM RAM and supports a capacity of up to 64 GB.

The board also features a PCIe 3.0 x 4 slot for an M.2 NVMe drive, 2 x 2.5Gbps Ethernet ports, SEE4.2 accelerator, HDMI 2.0 port, DisplayPort, and RTC/BIOS battery slot. Odroid H3+ is also equipped with a powerful graphics chip Intel UHD Graphics 23 EUs Turbo 900 MHz.

Board Details:

  • A. CPU (Intel Pentium Silver N6005)
  • B. 2 x DDR4 SO-DIMM slots (Dual channel memory support)
  • C. 1 x M.2 PCI Express Module Socket (NGFF-2280)
  • D. 1 x eMMC (Embedded Multimedia-Card) Socket
  • E. 2 x SATA Power Connectors (2.5mm pitch, JST-XH compatible connector)
  • F. 2 x SATA3 6.0 Gb/s Data Connectors
  • G. 1 x DC Power Jack
  • H. 2 x USB 3.0
  • I. 2 x USB 2.0
  • J. 1 x HDMI 2.0
  • K. 1 x DisplayPort 1.2
  • L. 2 x RJ45 Ethernet Ports (10/100/1000/2500)
  • M. 5 x System LED Indicators
  • N. 1 x Peripheral Expansion Header (24-pin)
  • O. 1 x Power Switch
  • P. 1 x Reset Switch
  • Q. 1 x Backup Battery Connector (2-pin)
  • R. 1 x Active Cooling Fan Connector (4-pin)
  • S. 1 x Audio out, 1 x Audio in, 1 x SPDIF out
How to run the Odroid H3 minicomputer?
  • Connect the included RTC / BIOS backup battery to the 2-pin connector, which maintains the BIOS settings and performs the RTC function.
  • Install DDR4 RAM sticks up to 32GB per slot and up to 64GB total (not included).
  • Connect additional peripherals such as a monitor, keyboard, and mouse. Odroid H3 does not support devices with PS2 port. Only USB or Bluetooth devices are supported.
  • The display can be connected via USB or DisplayPort.
  • In order to communicate with the Internet, a patch cord must be connected to the Ethernet port (10 / 100 / 1000 / 2500 Mb/s)
  • Connect the 15V/4A power adapter to the 5.5/2.1mm DC jack port.

Features:

  1. Intel Pentium Quad-Core Jasper Lake N6005 @ 2GHz, up to 3.3GHz boost
  2. Up to 64 GB RAM, dual-channel DDR-PC4-23400 (2933 MT/s)
  3. Two SO-DIMM slots, up to 32GB per slot
  4. 2x 2.5Gbps Ethernet port
  5. 2 x SATA 3.0 ports
  6. SSE4.2 Accelerator (SMM, FPU, NX, NMX, SSE, SSE2, SSE3, SSE4.1, SSE4.2, AES)
  7. Intel UHD Graphics 24 EUs Turbo 900MHz
  8. HDMI 2.0 and DP 1.2 video output
  9. Configurable Unlimited Performance mode allowing the processor to enter turbo boost mode
  10. RTC/BIOS backup battery included

Package Includes:

1 x ODROID-H3+ Single Board Computer

Weight
DimensionsN/AN/AN/AN/AN/AN/A
Additional information
GPU

NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)

Display

HDMI 2.0 or DP1.2, eDP 1.4, DSI (1 x2) 2 simultaneous

Camera

12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)

I/O Ports

1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S

Connectivity

(M.2 Key M)10/100/1000 BASE-T Ethernet

Video encoder

1x 4K @ 30 (HEVC), 250 MP/sec, 2x 1080p @ 60 (HEVC), 4x 1080p @ 30 (HEVC)

Video decoder

2x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC), 500 MP/sec

UPHY

1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0

Mechanical

260-pin edge connector

Model

reComputer J202

Power supply

3.3V

PCB Size / Overall Size

100mm x 80mm

Display

1 x HDMI+1 x DP

M.2 Key E

1 x M.2 Key E

M.2 Key M

1 x M.2 Key M

Ethernet

1 x Gigabit Ethernet (10/100/1000M)

CSI Camera

2 x CSI

USB

4 x USB 3.1 Type-A  (10Gbps for NX, 5Gbps for Nano) 1 x USB Type-C (Device mode)

Processor

Amlogic S922X Processor (12nm) Quad-core Cortex-A73(2.2Ghz) and Dual-core Cortex-A53(2Ghz) ARMv8-A architecture with Neon and Crypto extensions Mali-G52 GPU with 6 x Execution Engines (800Mhz)

Power

1 x DC jack : outer (negative) diameter 5.5mm, inner(positive) diameter 2.1mm 7.5V ~ 16V (Recommend range of input) – DC 12V/2A power adapter is recommendedPower consumption: – IDLE : ≃ 1.5W (Performance governor), 1.3W(Conservative governor) – CPU Stress (Passive Heat-Sink) : ≃ 5.4W (@1908/2208MHz, Stock), 5.8W (@2016/2400MHz, Overclock) – CPU Stress (Active Cooling-FAN) : ≃ 6.1W (@1908/2208MHz, Stock), 6.4W (@2016/2400MHz, Overclock) – Power-Off : ≃ 0.2W

Memory

LPDDR4 4GiB or 2GiB with 32-bit bus width Data rate: 3216 MT/s 1.1Volt low power design

Storage

1 x eMMC connector (8G, 16G, 32G, 64G and 128G are available) 1 x microSD slot (DS/HS modes up to UHS-I SDR104)

Networking

Optional WiFi or Ethernet USB adapters

Video

1 x HDMI 2.0 (up to 4K@60Hz with HDR, CEC, EDID) – Although the +5V Power pin is able to supply a minimum of 300mA, according to HDMI 2.0 specification, a sink shall not draw more than 50mA of current from the +5V Power pin.

Audio

1 x HDMI digital output

External I/O

1 x USB 3.0 Host port 1 x USB 2.0 Host port 1 x Debug serial console (UART) 1 x MIPI DSI 4Lane (TBD) 1 x Peripheral Expansion Header (40-pin, 2.54mm pitch) – 2 x DC 5V, 2 x DC 3.3V, 1 x DC 1.8V, 8 x GND – 1 x SPI – 1 x UART – 2 x I2C – 25 x GPIO (Max) – 2 x ADC input (10bit, 1.8V Max) – All of I/O signal level is 3.3 Volt except for ADC input at max 1.8 Volt

Other features

Built with a large passive heatsink System LEDS Indicators: – Red (PWR) – Solid light when DC power is connected – Blue (ALIVE) – Flashing like heartbeat while Kernel is running. Active Cooling Fan Connector (5V 2-pin) – Connector (2-pin, 1.25mm pitch)

Dimensions

Dimensions including Fan heatsink: 69mm x 56mm x 22mm Dimensions including Tall heatsink: 69mm x 56mm x 32mm

Weight (gm)

66g including a Tall heatsink

Processor

Intel Celeron N6005 Processor (10nm, Quad-Core, TDP 10W) H3+(N6005) : up to 3.3Ghz 4MB L2 Cache Intel UHD Graphics (24/32 EU up to 900MHz)

Networking

2 x GbE LAN ports (RJ45, supports 10/100/1000/2500 Mbps) Realtek RTL8125B Supports Wake-On-Lan LED indicators (Green: Link, Amber: Traffic

Memory

2 x DDR4 1.2V SO-DIMM slots Dual Channel, up to 2933 MT/s (DDR4-PC23400) Max memory capacity 64GB DDR3/DDR5 are not supported

Storage

1 x eMMC connector (bootable and selectable on BIOS) Various eMMC modules can be purchased at the Hardkernel store 2 x SATA3 6Gbps ( SATA Port-Multiplier is NOT compatible ) 1 x M.2 slot (PCIe 3.0 x 4, supports NGFF-2280 cards) M.2 SATA SSD is not supported

Video

1 x DisplayPort 1.2 (up to 4K@60Hz) 1 x HDMI 2.0 (up to 4K@60Hz) Dual simultaneous display support

Audio

1 x Audio out (3.5mm jack) 1 x Audio in (3.5mm jack) 1 x SPDIF out (ALC1200, HDA codec) * HDMI & DP have audio output too.

External I/O

2 x USB 3.0 Host ports 2 x USB 2.0 Host ports 1 x Peripheral Expansion Header (24-pin, 2.54mm pitch) – 1 x DC 5V, 1 x DC 3.3V, 5 x GND – 1 x UART (TXD/RXD/RTS/CTS) – 2 x I2C (SCL/SDA) – 1 x External Power Button – HDMI CEC, 5VA+ – 3 x USB 2.0 – All 3.3V I/O signal level

Other features

Passive Heatsink BIOS Backup Battery – Maintains system time and BIOS settings Power Button Reset Button System LEDS Indicators: – Red (PWR) – Solid light when DC power is supplied – Blue (left, SLEEP) – turns off only when the system enters into suspend mode – Blue (right, PMIC) – turns on only when the major power rails are working – Amber (SATA) – Flashes when SATA data transfers – Green (NVMe) – Flashes when NVMe data transfers Active Cooling Fan Connector (12V 4-pin, PWM input + TACHO output) – Active Cooling Fan is optional – Connector (4-pin, 2.54mm pitch)

Power

DC jack : outer (ground) diameter 5.5mm, inner(positive) diameter 2.1mm DC 14V ~ 20V (up to 60W) – DC 15V/4A power adapter is recommended if you don’t use two 3.5“ HDDs – DC 19V/7A power adapter is recommended if you two 3.5” HDDs together Power consumption: – IDLE : ≃1..9W – CPU Stress : ≃15W – CPU+GPU Stress : ≃18W – Power-off : ≃0.25W – Suspend : ≃0.6W

Form Factor

110mm x 110mm x 47mm Approx.