AI Edge Device(PAED-01-AGX)
Features
- Data Quality Measurement
- Real Time Output
- High accuracy and stable performance
- Compact integrated Design
- Next Generation Deep Learning
- OTA via AWS(Amazon Web Server)
Specifications
| Item | Technical specification |
|---|---|
| Processor | Jetson AGX Orin 32GB or Jetson AGX Orin 64GB |
| AI Performance | 200 TOPS (INT8) or 275 TOPS (INT8) |
| GPU | NVIDIA Ampere architecture with 1792 NVIDIA CUDA® cores and 56 tensor cores or NVIDIA Ampere architecture with 2048 NVIDIA CUDA® cores and 64 tensor cores |
| MAX GPU Freq | 930MHz or 1.3GHz |
| CPU | 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 or 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
| CPU MAX Freq | 2.2 GHz |
| Accelerator | [DL] 2x NVDLA v2.0 [Vision] PVA v2.0 |
| DLA Max Frequency | 1.4GHz or 1.6GHz |
| Memory | 32GB 256-bit LPDDR5 204.8GB/s or 64GB 256-bit LPDDR5 204.8GB/s |
| Storage | R64GB eMMC 5.1 |
| Video Encode | 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1 or 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1 |
| I/O | 4x Ethernet Port 1xHDMI 2.0 2xUSB 3.0 4xDI 4xDO 5xCAN FD 6xUART 1xSYNC_IN 1xSYNC_OUT 1xSYNC_PPS 4xAI |
| User Expansion | 1xNano SIM Socket 1xMini PCle for4G/WIFI 1xM.2 For SSD |
| Power | 15W - 40W or 15W - 60W |
| Input Voltage | 9V-36V DC |
| Size | 276mm×214mm×71mm |
