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1,525.05€
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1,239.88€
Sku: AIE-PO23-3M-1-A1
Product Type:
AI Edge box PC
Vendor:
Aetina
AIE-PO23-3M
EDGE AI PC NVIDIA® Jetson Orin Nano 4GB
- NVIDIA Jetson Orin Nano 4GB
- 20 TOPS
- Tensão de entrada: 12 a 24 VCC
- 1 x M.2 B-Key, 1 x M.2 E-Key slot
- 3 x M.2 M-Key slot for NVMe storage, CAN, RS-232/RS-422/485 expansion
- 2 x LAN GbE, 5x GPIO
- Temperatura de funcionamento -25°C ~ +55°C
- Design Fanless
- Suporta a gestão remota de dispositivos via EdgeEye
Visão Geral
Especificações
Downloads
Dimensões
Visão Geral
Spotting as a reliable and powerful AI inference device, the Aetina fanless and versatile expansion edge AI system - AIE-PN33/43-3M is designed to incorporate a vast M.2 expandability. Coupled with versatile I/O and Ethernet ports, it meets various needs of AI deployment. Powered by an NVIDIA® Jetson Orin™ NX, the AIE-PN33/43-3M delivers up to 100 TOPS of AI performance and is also compatible with the NVIDIA® Jetson Orin Nano™ module, as demonstrated by our release of the AIE-PO23/33-3M. Both systems offer users full bandwidth and power packages to accelerate and scale data connectivity for AI inference at the edge.
| ● Up to 100 TOPS AI performance enables AI inference on the Edge |
| AIE-PN33/43-3M and AIE-PO23/33-3M are fully compatible with NVIDIA Jetson Orin NX and Orin Nano modules, delivering exceptional AI performance and energy efficiency. Thanks to the 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores embedded in an NVIDIA Jetson Orin NX, AIE-PN33/43-3M drives up to 100 TOPS AI performance for high-resolution data processing and real-time inferencing. |
| ● Comprehensive M.2 for internal and external expansion |
| AIE-PN33/43-3M and AIE-PO23/33-3M are fanless systems with high expansion ability to support flexible and comprehensive M.2 expansion capability. Built-in 1x M.2 B-Key for LTE/5G, 1x M.2 E-Key for Wifi/BT, 3x M.2 M-Key for NVMe expansion storage for fast data transmission or extension module of CANBus, RS-232/RS-422/RS-485. By integrating with Aetina’s BSP and NVIDIA Jetpack toolkit supporting, both AIE-PN33/43-3M and AIE-PO23/33-3M are ideal for real-time AI-driven detection and recognition at roadside, wayside, farms, factory or construction sites. |
| ● Support EdgeEye for Device Remote Management |
AIE-PN33/43-3M and AIE-PO23/33-3M ease remote management burdens through integrated support for EdgeEye. IT staff can use Aetina’s EdgeEye cloud management platform to monitor, control, and reboot distributed edge systems conveniently from a central management console. |
* AIE-PN33/43-3M and AIE-PO23/33-3M are preliminary products, so the specifications are subject to change without prior notice.
Supercharge with NVIDIA Super Mode
| Orin Nano 4GB | Orin Nano 4GB (Super) |
Orin Nano 8GB | Orin Nano 8GB (Super) |
Orin NX 8GB | Orin NX 8GB (Super) |
Orin NX 16GB | Orin NX 16GB (Super) |
|
|---|---|---|---|---|---|---|---|---|
| GPU Cores | 512 CUDA Cores 16 Tensor Cores |
512 CUDA Cores 16 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
1024 CUDA Cores 32 Tensor Cores |
| GPU Max Frequency | 625 MHz | 1020 MHz | 625 MHz | 1020 MHz | 765 MHz | 1173 MHz | 918 MHz | 1173 MHz |
| Peak AI Performance INT8 | 20 TOPS | 34 TOPS | 40 TOPS | 67 TOPS | 70 TOPS | 117 TOPS | 100 TOPS | 157 TOPS |
| GPU Performance (S/D) | 20/10 TOPs | 34/17 TOPs | 40/20 TOPs | 67/33 TOPs | 50/25 TOPs | 77/38 TOPs | 60/30 TOPs | 77/38 TOPs |
| CPU | 6X A78 1.5 GHz |
6X A78 1.7 GHz |
6X A78 1.5 GHz |
6X A78 1.7 GHz |
6X A78 2.0 GHz |
6X A78 2.0 GHz |
8X A78 2.0 GHz |
8X A78 2.0 GHz |
| SPEC int rate | 106 | 118 | 106 | 118 | 130 | 167 | 167 | 167 |
| DLA Performance (S/D) | N/A | N/A | N/A | N/A | 20/10 TOPs | 40/20 TOPs | 40/20 TOPs | 80/40 TOPs |
| DRAM BW | 34 GB/s | 51 GB/s | 68 GB/s | 102 GB/s | 102 GB/s | 102 GB/s | 102 GB/s | 102 GB/s |
| Mechanical | 70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
70 x 45 mm 260 pins |
| Module Power | 7W | 10W | 7W | 10W | 25W | 7W | 15W | 10W | 15W | 25W | 10W | 15W | 20W | 10W | 15W | 25W | 40W | 10W | 15W | 25W | 10W | 15W | 25W | 40W |
Especificações
Specifications
| Model Number | AIE-PO23-3M | AIE-PO33-3M |
| Module Compatibility | NVIDIA Jetson Orin Nano 4GB | NVIDIA Jetson Orin Nano 8GB |
| AI Performance | 20 TOPS | 40 TOPS |
| GPU | 512 Core NVIDIA Ampere, with 16 Tensor Cores | 1024 Core NVIDIA Ampere, with 32 Tensor Cores |
| CPU | 6-core Arm® Cortex®-A78AE v 8.2 64-bit 1.5MB L2 + 4MB L3 | |
| Memory | 4GB 64-bit LPDDR5 34GB/s | 8GB 128-bit LPDDR5 68GB/s |
| Storage | 1 x M.2 NVMe M-Key 2242 (128GB built-in) | |
| Display | 1 x HDMI 2.0 Type A | |
| TPM | Not supported | |
| LAN | 2 x RJ-45 GbE ports | |
| USB | 2 x USB 3.2 Gen2 Type A (support up to 10 Gbps shared) 1 x OTG Type-C |
|
| I/O Interfaces | 5 x GPIO, 1 x UART, 1 x I2C, 1 x RS-232, 1 x RS-422/485, 1 x CAN (isolation; support CAN FD) |
|
| Expansion | 1 x M.2 B-Key 3042/3052 (LTE/5G) 1 x M.2 E-Key 2230 (WiFi/BT) 1 x M.2 M-Key 2242 (NVMe 128GB built-in) 2 x M.2 M-Key 2280 (PCIe) |
|
| MISC. Function | 1 x Power Button / 1 x Recovery Button / 1 x Reset Button | |
| Power Input/Connector | DC-in 12-24VDC / 4-Pin DC Jack Power Connector | |
| Power Consumption | Idle: 6.413 W Full Loading: 43.13* W |
|
| *For more test condition information, please refer to user manual | ||
| Dimension (WxDxH) | 270 x 195 x 80 mm (10.63 x 7.67 x 3.15 in) | |
| Mounting | Wall Mount (optional) / Din Rail (optional) | |
| Net Weight | TBC kg (TBC lb) | |
| Vibration | 1 Grms, IEC 60068-2-64, random, 5 ~ 500 Hz, 1 hr/axis | |
| Shock | 10 G, IEC 60068-2-27, half sine, 11 ms duration | |
| Temperature | Operating Temp. -25°C ~ +55°C (-13°F ~ +131°F) with 0.5 m/s air flow |
|
| Humidity | 95% @ 40°C (104°F) (non-condensing) | |
| Software Support | Linux (Support Jetpack 5.0 above) | |
| Certification | CE / FCC Class A / UKCA | |
*Product specifications are subject to change without prior notice
Downloads
Dimensões
Entrega Normal | 5 a 7 dias úteis
Entrega Urgente | 3 a 5 dias úteis
*salvo rutura de stock
Trabalhamos intensamente cumprir os prazos de entrega anunciados. No entanto, enfrentamos uma escassez global relativamente a alguns componentes e fabricantes.
Em caso de dúvidas ou preocupações, entre em contacto connosco para garantir o tempo de entrega.
Poderemos aconselhar sobre a disponibilidade de hardware alternativo e fornecer recomendações de componentes disponíveis para opções de envio mais rápidas.
