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Equipped with the all-new Jetson Orin Nano series, supporting mainstream deep learning frameworks and algorithms, cloud edge collaborative inference, and rich device interfaces
Equipped with NVIDIA's new generation Jetson Orin Nano series, it can be configured with up to 32 Tensor Core 1024 core NVIDIA Ampere architecture GPUs, with a maximum frequency of 625Mhz
Adopting a six core ARM Cortex-A78AE 64 bit CPU with a maximum frequency of 1.5Ghz, 1.5MB L2+4MB L3, providing up to 40 TOPS computing power, and compatible with NVIDIA Jetson Nano
Compared to it, it can provide 80 times higher performance and set a new standard for edge AI
Support TensorFlow, PyTorch, and Caffe/ Mainstream deep learning open source frameworks such as Caffe2, Keras, and MXNet build autonomous machines and complex AI systems by implementing powerful algorithm functions such as image recognition, object detection and localization, pose estimation, semantic segmentation, video enhancement, and intelligent analysis
On the basis of massive front-end data, super powerful computing power, and advanced algorithm combination, wireless networks can be leveraged to achieve collaborative integration and innovation of all factor resources, building an autonomous closed-loop cloud edge collaborative reasoning framework for front-end collection and execution, real-time inference at the edge, and back-end training and upgrading, realizing intelligence in the cloud and intelligence on the end
Built in USB 3.0, HDMI, Gigabit Ethernet, I2C, CAN and other device interfaces, the device interfaces are highly integrated to meet the needs of various external devices and sensor connections, enhancing the compatibility and richness of the platform
| Basic Parameters | |||
|---|---|---|---|
| Product Name | EX-01 Edge AI Computing Unit | Product Dimensions(WxDxH) | 120x74x48mm |
| Operating Temperature | -20-50℃ | Operating Humidity | 95%@40℃(non-condensing) |
| Processor parameters | |||
| NVIDIA RION Series | Orin Nano 8GB Orin Nano 4GB |
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| CPU | 6-core Arm Cortex-A78AE v8.2 64-bit CPU | ||
| GPU |
8G:1024-coreNVDIA Ampere architecture GPU with 32 Tensor Cores 4G:512-coreNVDIA Ampere architecture GPU with 16 Tensor Cores |
||
| Memory | 8GB: 8GB 4GB: 4GB |
||
| Maximum AI reasoning ability | 40TOPs 20TOPs |
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| I/O | |||
| I2C | 1xI2C | LAN | 1xLAN(1000Mbps) |
| CAN | 1XCAN | HDMI | 1XHDMI |
| USB3.0 | 1xUSB3.0 | USB2.0 | 2xUSB2.0 |
| TYPE-C | 1XTYPE-C | DC IN | 1xDC IN(12V) |
| Operating System | |||
| Linux | Ubuntu 22.04 LTS with JetPack Above5.1 | ||