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Aetina AIP-MURE (Intel Core™ 13 Gen, 3x M.2 AI, Dual PoE)
Price on request
AIP-MURE3/5/7-A1
Fanless AIP-MURE x86 edge AI system
- 3x M.2 M-key slots for AI accelerator modules, increasing performance
- Rugged fanless chassis for harsh environments
- Support for dual IP POE cameras for real-time video streaming
- Supports an out-of-band (OOB) management tool for remote maintenance of the edge AI system
Amplify M.2 AI acceleration & unleash ultra-high inference power!
As edge AI technology advances, demand is growing for compact, high-performance, low-power solutions. Aetina has introduced the MegaEdge AIP-MURE3/5/7-A1, a fanless x86 edge AI inference system powered by energy-efficient 13th Gen Intel Core™ i3/i5/i7 processors (only 15W), supporting three M.2 AI accelerator cards and delivering up to 300 TOPS. Optimized for real-time AI inference and video stream analysis, the AIP-MURE is ideal for smart surveillance, security, and smart city applications. With its reliable, compact, fanless chassis and low-power design, the AIP-MURE is an ideal choice for extreme edge environments.
| ● Supports three M.2 AI accelerators, delivering up to 300TOPS to meet the AI visual computing acceleration requirements of edge applications ranging from entry-level to high-performance |
| The AIP-MURE system includes three M.2 M-key slots, making it the first x86 platform on the market to support three M.2 AI accelerator cards and deliver up to 300TOPS of AI inference power. Compared with PCIe and MXM, the M.2-type AI acceleration solution provides a more compact, lower-power option for edge deployments. By adding AI accelerator cards, the AIP-MURE provides powerful support for real-time video analytics. |
| ● Powered by energy-efficient 13th Gen Intel Core™ i7/i5/i3 processors, providing the ideal balance between exceptional performance and low power consumption |
| With a TDP (thermal design power) of just 15W, these processors are designed for energy efficiency and intensive edge computing, making them ideal for edge AI applications where power efficiency is critical. The AIP-MURE3/5/7-A1 series offers three CPU configurations tailored to different visual computing requirements, achieving the ideal balance between computing power, low power consumption, and economic value, making them highly suitable for edge computing applications. |
| ● Designed with a compact fanless chassis, low power consumption, and wide-temperature operation for versatile edge applications |
| The AIP-MURE system delivers exceptional flexibility for edge deployments through its fanless, low-power, wide-temperature, ultra-compact design. Measuring just W270 x D195 x H80 mm, this powerful x86-based edge AI system operates in harsh conditions across a temperature range of -30°C to 60°C (-22°F to 140°F) and supports a flexible 12 to 24 VDC power input, ensuring reliable, high-performance operation in even the most demanding environments. |
| ● Equipped with 2 PSE ports for real-time IP camera video streaming |
| Powered by high-performance AI accelerator cards, the AIP-MURE excels at real-time graphics recognition and seamlessly handles complex AI tasks such as object detection, multi-image analysis, and automated decision-making. Whether used for smart city traffic management, public safety, smart retail, smart agriculture, or smart factory applications, it meets the diverse requirements of multiple use cases. |
| ● Supports an Out-Of-Band (OOB) remote management module |
| The AIP-MURE supports Out-Of-Band (OOB) remote management, enabling customers to efficiently monitor device operation and remotely manage both in-band and out-of-band functions. This feature enables seamless remote management of multiple edge devices, adapting to a wide range of application scenarios while providing flexible, scalable edge device management. |
| ● Built-in internal USB-A slot |
| The system allows a software license dongle to be installed internally, reducing the risk of key theft and ensuring more secure, reliable license management. |
Empower edge AI with efficient & cost-effective M.2 acceleration
The AIP-MURE advances edge AI by integrating three powerful M.2 AI accelerators into a reliable system design—a compact, fanless, rugged chassis—alongside real-time visual inference capabilities. This powerful yet cost-effective solution is designed to unlock the full potential of AI visual computing at the edge, taking your AI initiatives to new levels with unmatched speed and efficiency.
Efficient price-performance ratio
On-premises AI inference
Computer vision optimization
Diverse GPU options
| Model Number | AIP-MURE7 | AIP-MURE5 | AIP-MURE3 |
| CPU | i7-1365URE | i5-1345URE | i3-1315URE |
| Graphics | Eligible for Intel® Iris® Xe Graphics | Intel® UHD Graphics | |
| Chipset | SoC | ||
| System Memory | 2 x DDR5 5200MHz SO-DIMM slots, up to 96G (48G per SO-DIMM) | ||
| Storage | 1 x 2.5“ SATAIII SSD | ||
| USB | 2 x USB3.2 Gen2 x 1 (10Gbit/s, Type-A) 2 x USB2.0 Type-A 1 x USB2.0 Type-A (in chassis) | ||
| LAN | 2 x RJ45 with Intel i210IT 1G LAN controller, supporting 802.3 af up to 30W total for IP cameras | ||
| Serial Port | 2 x RS-232/485/422 (DB9, BIOS-selectable, RS-232 by default) | ||
| Display Output | 1 x HDMI 2.0 (resolution up to 4096 x 2160 @60Hz) 1 x DP++ 1.4a (resolution up to 4096 x 2160 @60Hz) 1 x VGA (resolution 1920x1200 @60Hz) | ||
| Expansion Slots | 2 x M.2 M-KEY 2280 (M.2 #1 & #2, PCIe Gen4 x4), supporting NVME & AI ASIC 1 x M.2 M-KEY 2280 (M.2 #3, PCIe Gen3 x4), supporting AI ASIC 1x M.2 B-KEY 3052 (PCIe Gen3 x1 & USB3.2 Gen2 x1) 1 x M.2 E-KEY 2230 (PCIe Gen3 x1) | ||
| SIM Slot | 1x Nano SIM slot | ||
| GPIO | 8 x bits GPIO (DB15) | ||
| Audio | 1 x Line-out, 1 x Mic-in | ||
| Button | 1 x power button | ||
| MISC. Function | OOB (out of band), built-in Innodisk – InnoAgent | ||
| Power Consumption | Full load: TBD Watts, idle: TBD Watts | ||
| Power Input/Connector | 12-24V DC input, 4-pin terminal block | ||
| Dimensions (W x D x H) | 270 x 195 x 80 mm (10.63 x 7.67 x 3.15 in) | ||
| Mounting | Wall mount / Desk mount / DIN-rail | ||
| Net Weight | Net weight: 3.9 kg, gross weight: 6.5 kg | ||
| Vibration | 1Grms, IEC60068-2-64, random, 5 ~ 500 Hz, 1Hr / axis (operating) | ||
| Shock | 10G, IEC 60068-2-27, half-sine, 11 ms duration (non-operating) | ||
| Temperature | Operating temperature: -30°C ~ + 60°C (-22°F ~ 140°F) Storage temperature: -40°C ~ + 85°C (- 40°F ~185°F) | ||
| Humidity | 95% relative humidity @ 40°C, non-condensing | ||
| OS Support | Windows 10 IOT LTSC / Windows 11 / Linux Ubuntu 22.04/24.04 | ||
| Security | TPM 2.0 | ||
| Certification | CE / FCC Class A / UKCA / LVD / RoHS | ||