Layout of the carrier board
With its impressive AI performance of 20 TOPS and low power consumption of only 5.5
watts in idle mode, it provides the perfect foundation for a wide range of edge
applications. It is equipped with 512 CUDA cores of the NVIDIA Ampere architecture with
16 Tensor Cores.
This advanced technology enables the efficient processing of complex AI algorithms, even in real time. The 6-core Arm Cortex-A78AE v8.2 64-bit CPU with 1.5 MB L2 + 4 MB L3 provides additional computing power and 4 GB 64-bit LPDDR5 with 34 GB/s memory bandwidth guarantee a fast and smooth data flow.
This advanced technology enables the efficient processing of complex AI algorithms, even in real time. The 6-core Arm Cortex-A78AE v8.2 64-bit CPU with 1.5 MB L2 + 4 MB L3 provides additional computing power and 4 GB 64-bit LPDDR5 with 34 GB/s memory bandwidth guarantee a fast and smooth data flow.
With a variety of interfaces, including M.2 NVMe storage, GbE port, and multiple I/O
options such as GPIO, I2C, I2S, RS-232, UART and CAN, this board is perfectly suited
to support the implementation of numerous AI applications.
With its compact dimensions of only 87.4 x 67.4 x 28.45 mm, the Jetson Orin Nano board can fit into even the tightest environments. The extremely robust design is ideal for use in harsh environments and the extended operating temperature range of -25 °C to 80 °C enables reliable operation even under extreme conditions.
▪ ds
With its compact dimensions of only 87.4 x 67.4 x 28.45 mm, the Jetson Orin Nano board can fit into even the tightest environments. The extremely robust design is ideal for use in harsh environments and the extended operating temperature range of -25 °C to 80 °C enables reliable operation even under extreme conditions.
▪ ds
Find out more now!
- Overview Edge Devices
- AIE-KN41
- Datasheet AIE-KN41
- Manual AIE-KN41
- AIB-SO21
- Datasheet AIB-SO21
- Manual AIB-SO21
- Industry 4.0 & IIoT
- Request info