PLINK Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G
PLINK Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G
PLINK Embedded Linux SBC Jetson Nano Embedded Development Kit
NVIDIA GPU Development Kit Y-C6-DEV-Nano
Y-C6-DEV-Nano is an embedded NVIDIA Jetson developer kit with the Jetson Nano module. the temperature is -25~+80°C, Support the official system without changing the kernel, and the power onself start, the embedded system for industrial machine leaning.
NVIDIA Jetson Nano Module, delivers 472 GFLOPs for taking on modern AI algorithms. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications ranging from NVRs to intelligent gateways. and high-performance computing at just 5W-10W.
NVIDIA Jetson Nano Module Technical Specifications
|
GPU |
NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores
0.5 TFLOPs (FP16)
|
|
CPU |
Quad-core ARM® Cortex®-A57 MPCore processor |
|
Memory |
4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
|
|
Storage |
16 GB eMMC 5.1 Flash |
|
CSI Camera |
12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps) |
|
Display |
HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous |
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UPYH |
1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0 |
|
Size |
69.6 mm x 45 mm |
NVIDIA Machine Learning Kit Product Specifications
Support native system
Anti falling off interface design
Temperature: -25~+80°C
Size: 120mm*80mm*35mm
Adapter: AC to DC /220V to +12V 5A
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USB 3.1 Type-A |
1 |
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Micro USB |
1 |
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CR1220 RTC Battery |
1 |
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MiniPCIe |
2 |
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RJ45 |
1 |
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micro SD |
1 |
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Nano SIM |
1 |
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HDMI 2.0 |
1 |
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2 Lane MIPI |
2 |
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CAN |
1 |
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30-pin2.0mm Multifunctional interface design |
1 |
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3.3V Debug(UART) |
1 |
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GPIO(3.3V) |
3 |
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SPI(3.3V) |
1 |
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GPO(3.3V) |
1 |
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I2C(3.3V) |
2 |
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RS-232 |
2 |
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