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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/U2000 Series 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® Jetson Xavier NX™

Equipped with NVIDIA® Jetson Orin Nano™

Equipped with NVIDIA® Jetson Orin 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.

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-U2200
Jetson Orin NX		 None 1024 cores NVIDIA Ampere™ GPU 32 Tensor cores Memory: 8GB/16GB 128bit LPDDR5
Storage: 256GB/512GB/1TB NVMe		 Ubuntu 20.04
DX-U2100
Jetson Orin Nano		 512 cores NVIDIA Ampere™ GPU 16 Tensor cores
1024 cores NVIDIA Ampere™ GPU 32 Tensor cores		 Memory: 4GB/8GB 64bit LPDDR5
Storage: 256GB/512GB/1TB NVMe
DX-U1220-3E0212
Jetson Xavier NX		 None 384 cores NVIDIA Volta™ GPU 48 Tensor cores Memory：8GB 128bit LPDDR4
Storage：16 GB eMMC + 256GB NVMe 		Ubuntu 18.04.5 LTS
DX-U1220P1-3E0212
Jetson Xavier NX		 Low Profile PCI Express(x1) x 1
DX-U1210-3E0211
Jetson Xavier NX		 None Memory：8GB 128bit LPDDR4
Storage：16 GB eMMC
DX-U1200-3E0211
Jetson Xavier NX
DX-U1200P1-3E0211
Jetson Xavier NX		 Low Profile PCI Express(x1) x 1
DX-U1100-2E0211
Jetson Nano		 None 128 NVIDIA® CUDA® cores NVIDIA Maxwell™ architecture Memory：4GB 64bit LPDDR4
Storage：16 GB eMMC
DX-U1100P1-2E0211
Jetson Nano		 Low Profile PCI Express(x1) x 1

Functions & Specifications

NVIDIA Jetson Edge AI Device - Inference Processing (GPGPU) Spec. Comparison

ResNet-50 Inference Execution ResultsSpec. Comparison

Model DX-U2100 DX-U2200
Jetson Module Module NVIDIA® Jetson Orin™ Nano NVIDIA® Jetson Orin™ NX
CPU 6 cores Arm®Cortex®-A78AE v8.2 64-bit CPU 6 cores Arm®Cortex®-A78AE v8.2 64-bit CPU
8 cores Arm®Cortex®-A78AE v8.2 64-bit CPU
GPU 512 cores NVIDIA Ampere™ GPU 16 Tensor cores
1024 cores NVIDIA Ampere™ GPU 32 Tensor cores		 1024 cores NVIDIA Ampere™ GPU 32 Tensor cores
DL Accelerator - NVIDIA®v2 x1 610MHz, NVIDIA®v2 x2 614MHz
Memory 4GB 64bit LPDDR5 34GB/sec, 8GB 128bit LPDDR5 68GB/sec 8GB 128bit LPDDR5 102.4GB/sec
16GB 128bit LPDDR5 102.4GB/sec
Storage 256GB, 512GB, 1TB NVMe
Software*1 OS Ubuntu 20.04
SDK JetPack 5.1.2
Interfaces USB USB3.2 Gen2(USB3.1)Type A×2, USB2.0 Type A×2, USB2.0 microB×1(for debugging)
Serial RS-485 × 1
Display Interfaces HDMI1.4 × 1 HDMI2.1 × 1
Ethernet Gigabit Ethernet × 4
Digital I/O DI x 4 (isolated), DO x 2 (isolated) (DI x 2 and DO x 2 are exclusive)
CAN CAN2.0A/B 1 port (non-isolated, 10bps to 1Mbps)
4G LTE*2 4G LTE CAT4 module built-in
Others RTC built-in
Physical Dimensions (mm)
(No bracket or projection included)		 190(W)×92(D)×45(H)
Rated Input Voltage 10 to 30VDC
Operating Temperature*3 -20 to 60°C, airflow 0.7m/s, Environment: 50% of average load
Standard CE Marking (EMC Directive Class A, RoHS Directive), FCC Class A, UKCA, VCCI Class A, (TELEC and VCCI Class A are only applicable to 4G LTE bult-in models)
Model DX-U1220-3E0212 DX-U1220P1-3E0212
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 + 256GB NVMe
Software*1 OS Ubuntu 18.04.5 LTS
SDK JetPack 4.6 [L4T 32.6.1]
Interfaces USB USB 3.2 Gen2(USB3.1) Type A x 4, USB 2.0 microB x 1 (for debugging)
Serial 1 port (RS-232C/RS-422A/RS-485, selectable)
Display Interfaces HDMI 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)		 190(Ｗ) ｘ 92(Ｄ) ｘ 43(H) 190(Ｗ) ｘ 92(Ｄ) ｘ 75(H)
Rated Input Voltage 12 to 24VDC
Operating Temperature*3 -20 to 60°C, airflow 0.7m/s, Environment: 50% of average load (With PCIe board attached : -20 to 50°°C)
Standard CE Marking (EMC Directive Class A, RoHS Directive), FCC Class A, UKCA, 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 43(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, UKCA, VCCI Class A
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 43(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, UKCA, VCCI Class A
  • *1
    More recent versions may be used without notice. Check the Contec website for more information.
  • *2
    Only for 4G LTE bult-in model
  • *3
    Contact Contec for M.2 module installation.
  • *4
    Derating occurs due to the load conditions.

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  • *
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