I-TANK AIoT Developer Kit

Industrial system supports 6th/7th Gen Intel® Core™/Xeon® processor. Pre-installed Intel® Distribution of Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit



  • 6th/7th Gen Intel® Core™/Xeon® processor platform with Intel® Q170/C236 chipset and DDR4 memory
  • Dual independent display with high resolution support
  • Rich high-speed I/O interfaces on one side for easy installation
  • On-board internal power connector for providing power to add-on cards
  • Great flexibility for hardware expansion
  • Pre-installed Ubuntu 16.04 LTS
  • Pre-installed Intel® Distribution of Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit, Intel® Media SDK, Intel® System Studio and Arduino® Create



Color Black + Silver
Dimensions (WxDxH) 121.5 x 255.2 x 205 mm (4.7" x 10" x 8")
System Fan Fan
Chassis Construction Extruded aluminum alloys
Weight (Net/Gross) 4.2 kg (9.26 lbs)/ 6.3 kg (13.89 lbs)
CPU Intel® Xeon® E3-1268LV5 2.4GHz (up to 3.4 GHz, Quad Core, TDP 35W)
Intel® Core™ i7-7700T 2.9GHz (up to 3.8 GHz, Quad Core, TDP 35W)
Intel® Core™ i5-7500T 2.7GHz (up to 3.3 GHz, Quad Core, TDP 35W)
Intel® Core™ i7-6700TE 2.4 GHz (up to 3.4GHz, quad-core, TDP 35W)
Intel® Core™ i5-6500TE 2.3 GHz (up to 3.3GHz, quad-core, TDP 35W)
Chipset Intel® Q170/C236 with Xeon® E3 only
System Memory 2 x 260-pin DDR4 SO-DIMM,
8 GB pre-installed (for i5/i5KBL/i7 sku)
16 GB pre-installed (for i7KBL sku)
32 GB pre-installed (for E3 sku)
Hard Drive 2 x 2.5" SATA 6Gb/s HDD/SSD bay, RAID 0/1 support
(1x 2.5” 1TB HDD pre-installed)
I/O Interfaces
USB 3.0 4
USB 2.0 4
Ethernet 2 x RJ-45
LAN1: Intel® I219LM PCIe controller with Intel® vPro™ support
LAN2 (iRIS): Intel® I210 PCIe controller
COM Port 4 x RS-232 (2 x RJ-45, 2 x DB-9 w/2.5KV isolation protection)
2 x RS-232/422/485 (DB-9)
Digital I/O 8-bit digital I/O, 4-bit input / 4-bit output
Display 1 x VGA
1 x iDP (optional)
Resolution VGA: Up to 1920 x 1200@60Hz
HDMI/DP: Up to 3840x2160@30Hz / 4096×2304@60Hz
Audio 1 x Line-out, 1 x Mic-in
TPM 1x Infineon TPM 2.0 Module
Backplane 2 x PCIe x8
PCIe Mini 1 x Half-size PCIe Mini slot
1 x Full-size PCIe Mini slot (supports mSATA, colay with SATA)
Power Input DC Jack: 9 V~36 V DC
Terminal Block: 9 V~36 V DC
Power Consumption 19 V@3.68 A (Intel® Core™ i7-6700TE with 8 GB memory)
Internal Power output 5V@3A or 12V@3A
Mounting Wall mount
Operating Temperature Xeon® E3 -20°C ~ 60°C with air flow (SSD), 10% ~ 95%, non-condensing
i7-7700T -20°C ~ 35°C with air flow (SSD), 10% ~ 95%, non-condensing
i5-7500T -20°C ~ 45°C with air flow (SSD), 10% ~ 95%, non-condensing
i7-6700TE -20°C ~ 45°C with air flow (SSD), 10% ~ 95%, non-condensing
i5-6500TE -20°C ~ 60°C with air flow (SSD), 10% ~ 95%, non-condensing
Operating Vibration MIL-STD-810G 514.6 C-1 (with SSD)
Supported OS Win10/Linux Ubuntu 16.04 LTS


Smart Choice for Inference System With AI

Artificial Intelligence, AI, is changing our lives from the past to the future. It enables machine learning by using a variety of training models to simulate and infer the status or appearance of objects. For example, the inference system with the video analysis model can perform face and vehicle license plate analysis for safety and security purposes.

I-TANK AIoT Dev. Kit features rich I/O and dual PCIe slots (x16) to support add-ons like the Acceleration cards (I-Mustang-F100-A10 & I-Mustang-V100-MX8) or the PoE (IPCIE-4POE) to enhance performance and function for various applications.

Anewtech-tank-iot-development-kits-Machine-VisionMachine Vision
Anewtech-tank-iot-development-kits-License-Plate-AnalysisVehicle License Plate Analysis
Anewtech-tank-iot-development-kits-Face-RecognitionFacial Recognition


Intel® Distribution of OpenVINO™ toolkit

Intel® Distribution of OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across multiple types of Intel® platforms and maximizes performance. It can optimize pre-trained deep learning models such as Caffe, MXNET, and Tensorflow. The tool suite includes more than 20 pre-trained models and supports 100+ public and custom models (includes Caffe*, MXNet, TensorFlow*, ONNX*, Kaldi*) for easier deployments across Intel® silicon products (CPU, GPU/Intel® Processor Graphics, FPGA, VPU).



Accelerator Card



  • Intel Arria 10 GX 115 FPGA
  • PCIe Gen3 x8
  • Low profile, half-size, double slot

I- Mustang-V100-MX8

  • Intel Movidius solution, 8 x Myriad X VPU
  • PCIe Gen2 x4
  • Low profile, half-size, single slot