UAV Jetson Xavier NX Carrier Board Module Y-C6 Development Board
NVIDIA Jetson SBC Xavier NX Carrier Board Y-C6
Module: NVIDIA Jetson Xavier NX, It brings AI supercomputer performance to the edge in a compact system-on-module (SOM) that’s smaller than a credit card. Jetson Xavier NX is built around a low-power version of the NVIDIA Xavier SoC, combining the NVIDIA Volta™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators. Compute performance up to 14 TOPS (at 10W) or 21 TOPS (at 15W) enables the Jetson Xavier NX to run multiple neural networks in parallel and process data from multiple high-resolution sensors simultaneously. It also offers a unique combination of performance and power advantages with a rich set of I/Os, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs, allowing embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
The Y-C6 is an embedded system development board, based on industrial and UAV, is a mini carrier board.
The Y-C6 fitting includes a 2.0mm spacing multifunctional pin connector outer lead line and a bag of screw packs. The screw package contains a screw pack and a power cord connector (male head) for fixing the load plate.
Interface | Quality |
Micro USB | 1 |
USB3.1 Type-A | 1 |
Micro TF card | 1 |
HDMI 2.0 | 1 |
Fan Control Interface | 1 |
Working Indicator | 1 |
MiniPCIe | 2 |
(10 / 100 / 1000 BASE-T) RJ45 | 1 |
Nano type SIM card | 1 |
CR1220 type RTC battery holder (battery not included) | 1 |
2 Lane MIPI Camera Interface FPC | 2 |
RS-232 | 2 |
CAN | 1 |
UART(3.3V) | 1 |
SPI(3.3V) | 1 |
I2C(3.3V) | 2 |
30pin 2.0mm pitch multi-function expansion pin connector | 1 |
Board Size | 120mm×80mm×18mm |
Power | DC +9V~+24V |
Working temperature | -20~+65℃ |
Weight | 78g |
NVIDIA Jetson Xavier NX Module Technical Specifications
| Jetson Xavier NX 16GB | Jetson Xavier NX 8GB |
AI Perf | 21 TOPS | |
GPU | 384 NVIDIA® CUDA® cores | 48 Tensor cores | |
CPU | 6-core NVIDIA Carmel Arm®v8.2 64-bit CPU 6MB L2 + 4MB L3 | |
Memory | 16GB 128-bitLPDDR4x 59.7GB/s | 8GB 128-bitLPDDR4x 59.7GB/s |
Storage | 16GB eMMC 5.1 | |
USB | 1x USB 3.2 Gen2 (10 Gbps) | |
Power | 10W - 20W |