Pioneering the DX Era: Contec AI Computers

 There has been an increase in expectations for AI technology due to the significant leaps and bounds that have been made in recent years in deep learning technology, and research and development toward the goal of practical application in a variety of fields has been proceeding. In particular, in the industrial sector, the introduction of IoT and 5G communication technologies has allowed for real-time collection of detailed field data, with AI allowing rapid response to changes in the situation, innovating brand new business models and truly ushering in an age of digital transformation (DX).
 Application development using NVIDIA’s Jetson developers’ kit has been extremely popular for AI inference execution environments being used out in the field, and by implementing applications on industrial computers that emphasize practicality, it will become possible to meet a wide range of market needs.

Reasons to Use the DX-U1000 for Edge AI

Edge AI accelerator equipped with NVIDIA® Jetson

Ideal for fields requiring on-site AI inference processing, including image inspection and predictive maintenance

Equipped with NVIDIA® Jetson Nano™

Equipped with NVIDIA® Xavier NX™

そのまま利用可能

NVIDIA JetPack™ SDK available

Ubuntu comes pre-installed just like the Jetson developer kit for running applications created with the developer kit.

そのまま利用可能 そのまま利用可能

Fanless design with optimal heat dissipation efficiency

The design utilizes accumulated knowledge about BOX-PC embedded computers for peak performance.

熱流体趣味レーション

Efficient use of components

The device was designed with the latest simulation analysis tools for optimal performance.

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Lineup

Model Expansion Slot GPU Memory / Storage OS
DX-U1100-2E0211 None 128 NVIDIA® CUDA® cores NVIDIA Maxwell™ architecture Memory:4GB 64bit LPDDR4
Storage:16 GB eMMC
Ubuntu 18.04.5 LTS
DX-U1100P1-2E0211 Low Profile PCI Express(x1) x 1
DX-U1200-3E0211 None 384 cores NVIDIA Volta™ GPU 48 Tensor cores Memory:8GB 128bit LPDDR4
Storage:16 GB eMMC
DX-U1210-3E0211
DX-U1200P1-3E0211 Low Profile PCI Express(x1) x 1

Functions & Specifications

Deep Learning Performance

ResNet-50 Inference Execution Results比較表

  • (Actual in-house measurement results from “Jetson_benchmarks” benchmark software; INT8 arithmetic precision not supported on the DX-U1100.)
Model DX-U1100-2E0211 DX-U1100P1-2E0211
Jetson Module Module NVIDIA® Jetson Nano™
CPU Quad Core ARM Coretex-A57 MPCore processor
GPU 128 NVIDIA® CUDA® cores NVIDIA Maxwell™ architecture
Memory 4GB 64bit LPDDR4
Storage 16GB eMMC
Software*1 OS Ubuntu 18.04.5 LTS
SDK JetPack 4.4.1 [L4T 32.4.4]
Interfaces USB USB 3.0 Type A x 1, USB 2.0 Type A x 1, USB 2.0 microB x 1 (for debugging)
Display Interfaces HDMI x 1, DisplayPort(eDP) x 1
Ethernet Gigabit Ethernet x 2
M.2*2 M.2 Key-E, M.2 Key-B
External storage microSD
Digital I/O DI x4 (isolated), DO x2 (isolated) (2 DIs and 2 DOs are for exclusive use)
PCIe slot - Low Profile PCI Express(x1) x 1
Other RTC built in RTC built in
Internal GPIO (for evaluation), MIPI CSI-2(for evaluation)
Physical Dimensions (mm)
(No bracket or projection included)
160(W) x 92(D) x 44(H) 160(W) x 92(D) x 75(H)
Rated Input Voltage 12 to 24VDC
Operating Temperature*3 -20 to 60°C (With PCIe board attached : -20 to 50°C) airflow 0.7m/s
Standard CE Marking (EMC Directive Class A, RoHS Directive), FCC Class A, VCCI Class A
Model DX-U1200-3E0211
DX-U1210-3E0211
DX-U1200P1-3E0211
Jetson Module Module NVIDIA® Jetson Xavier NX™
CPU 6 cores NVIDIA Carmel ARM® v8.2 64-bit CPU
GPU 384 cores NVIDIA Volta™ GPU 48 Tensor cores
DL Accelerator 2 x NVDLA (NVIDIA Deep Learning Accelerator) engine
Memory 8GB 128bit LPDDR4
Storage 16GB eMMC
Software*1 OS Ubuntu 18.04.5 LTS
SDK JetPack 4.4.1 [L4T 32.4.4]
Interfaces USB USB 3.2 GEN2(USB 3.1) Type A x 1, USB 2.0 Type A x 1, USB 2.0 microB x 1 (for debugging)
Display Interfaces HDMI x 1, DisplayPort(eDP) x 1
Ethernet Gigabit Ethernet x 2
M.2*2 M.2 Key-E, M.2 Key-B
External Storage microSD
Digital I/O DI x 4 (isolated), DO x 2 (isolated) (DI x 2 and DO x 2 are exclusive)
PCIe Slot - Low Profile PCI Express(x1) x 1
Others RTC built-in RTC built-in
Internal GPIO (for evaluation), MIPI CSI-2(for evaluation)
Physical Dimensions (mm)
(No bracket or projection included)
160(W) x 92(D) x 44(H) 160(W) x 92(D) x 75(H)
Rated Input Voltage 12 to 24VDC
Operating Temperature*3 -20 to 60°C (With PCIe board attached : -20 to 50°C) airflow 0.7m/s
Standard CE Marking (EMC Directive Class A, RoHS Directive), FCC Class A, VCCI Class A
  • *1
    More recent versions may be used without notice. Check the Contec website for more information.
  • *2
    Contact Contec for M.2 module installation.
  • *3
    Derating occurs due to the load conditions.

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  • *
    NVIDIA, the NVIDIA Logo, and other NVIDIA marks are trademarks or registered trademarks of NVIDIA Corporation in the United States and other countries.

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