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™

DX-U1100

Equipped with NVIDIA® Xavier NX™

DX-U1200

NVIDIA JetPack™ SDK available

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

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.

Need more info?

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	128 NVIDIA® CUDA® cores NVIDIA Maxwell™ architecture	Memory：4GB 64bit LPDDR4 Storage：16 GB eMMC
DX-U1200-3E0211	None	384 cores NVIDIA Volta™ GPU 48 Tensor cores	Memory：8GB 128bit LPDDR4 Storage：16 GB eMMC
DX-U1210-3E0211	None
DX-U1200P1-3E0211	Low Profile PCI Express（x1） x 1
DX-U1220-3E0212	None		Memory：8GB 128bit LPDDR4 Storage：16 GB eMMC + 256GB NVMe
DX-U1220P1-3E0212	Low Profile PCI Express（x1） x 1		Memory：8GB 128bit LPDDR4 Storage：16 GB eMMC + 256GB NVMe

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
Software^*1	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, 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
Software^*1	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, UKCA, VCCI Class A

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
Software^*1	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

*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.

Click here for other embedded computers