| Place of Origin: | USA |
|---|---|
| Brand Name: | NVIDIA |
| Model Number: | Jetson nano module |
| Minimum Order Quantity: | 1pcs |
| Price: | USD130-USD140\PCS |
| Delivery Time: | 15-30 wok days |
| Payment Terms: | L/C, D/A, D/P, T/T |
| Supply Ability: | 100pcs 30work days |
| NAME: | Nvidia Jetson Artificial Intelligence Board Embedded PC Boards EMMC 16GB | Keyword: | Nvidia Jetson Artificial Intelligence Board Embedded PC Boards EMMC 16GB |
|---|---|---|---|
| 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 |
| Camera: | 12 Lanes (3x4 Or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps) | Connectivity: | Wi-Fi Requires External Chip 10/100/1000 BASE-T Ethernet |
| Display: | HDMI 2.0 Or DP1.2 | EDP 1.4 | DSI (1 X2) 2 Simultaneous | UPYH: | 1 X1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0 |
| Size: | 69.6 Mm X 45 Mm | Mechanical: | 260-pin Edge Connector |
| High Light: | 16GB artificial intelligence board,EMMC artificial intelligence board,EMMC embedded pc boards |
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Nvidia Jetson Artificial Intelligence Board Embedded PC Boards EMMC 16GB
Deep Learning Board (NVIDIA Jetson Nano Module)
Maxwell GPU + ARM Cortex-A57 + 4GB LPDDR4 + 16GB eMMC
Bringing the Power of Modern AI to Millions of Devices.
NVIDIA Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, It delivers 472 GFLOPs for taking on modern AI algorithms. 64-bit operating capability, and integrated advanced multi-function audio, video and image processing pipelines into a 260-pin SO- DIMM. The Maxwell GPU architecture implemented several architectural enhancements designed to extract maximum performance per watt consumed.
Core components of the Jetson Nano series module include:
NVIDIA® Tegra® X1 series SoC
- NVIDIA Maxwell GPU
- ARM® quad-core Cortex®-A57 CPU Complex
4GB LPDDR4 memory
16GB eMMC 5.1 storage
Gigabit Ethernet(10/100/1000 Mbps)
PMIC,regulators,power andv oltage monitors
260-pin key edconnector (exposes both high-speed and low-speed industry standard I/O)
On-chip temperature sensors
| 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 |
| Video Encode | 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265) |
| Video Decode | 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265) |
| Camera | 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps) |
| Connectivity |
Wi-Fi requires external chip |
| 10/100/1000 BASE-T Ethernet | |
| Display | HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous |
| UPHY | 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0 |
| Networking | 10/100/1000 BASE-T Ethernet |
| Display | Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b |
| I/O | 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs |
| Size | 69.6 mm x 45 mm |
| Mechanical | 260-pin edge connector |
