AI on ARM Series | Edge AI Inference Box || Aetina Corporation

DeviceEdge AI on ARM Series

In Aetina's DeviceEdge product line, the AI on ARM series includes ARM platforms for edge AI inference with expandable AI modules, offering various M.2 AI modules for AI acceleration. It allows for selecting suitable acceleration solutions based on diverse industry applications. Compared to edge platforms with built-in AI, Aetina's innovative ARM series provides more flexible edge AI solutions.

<dl> <dt>Processor：</dt> <dd>Rockchip RK3588 </dd> </dl> <dl> <dt>Expansion：</dt> <dd>1 x M.2 M-Key 2280 (PCIe Gen3 x4) for AI Accelerator</dd> </dl> <dl> <dt> </dt> <dd>1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT</dd> </dl> <dl> <dt> </dt> <dd>1 x Mini PCIe full-size (USB 2.0) for LTE w/Micro SIM card holder</dd> </dl><style type="text/css">.Overview_form_wrap{ margin-top: 30px; padding-top: 30px; background: url(https://www.aetina.com/img/dot_line.gif) repeat-x center top; } .Overview_form_wrap h3{ font-size: 22px; color: #A4CC38; margin-bottom: 20px; } .Spec_form{ font-size: 14px; line-height: 1.7em; width: 100%; border-collapse: collapse; } .Spec_form tr{ border-bottom: 1px solid #ccc; } .Spec_form tr td:first-child{ color: #86aa27; } .Spec_form td{ padding: 5px 10px; } .Spec_form .form_title{ font-weight: bold; } .Spec_form .rigtt_border{ border-right: 1px solid #ccc; } .w1 { font-size: 14px; line-height: 26px; letter-spacing: 1px; color: RGB(51,51,51); text-decoration: none; background: none; } .text h3{ font-size: 18px; line-height: 26px; letter-spacing: 1px; font-weight: bold; color: #A4CC38; padding: 5px 0; } .text h4{ font-size: 16px; line-height: 26px; letter-spacing: 1px; font-weight: bold; color: #333; margin-bottom: 5px; } .flex{ display: flex; align-items: center; justify-content:space-between; padding: 40px 0; } .flex .text{ width: 60%; } .flex .pic{ width: 35%; } .flex .pic img{ width: 100%; } .ck_zone ul li{ list-style-type: none !important; } .list{ margin: 10px 0; padding-left: 0 !important; } .list li:first-child{ margin-bottom: 20px ; } .list .title{ color: #323C41; font-size: 15px; line-height: 26px; letter-spacing: 1px; font-weight: bold; display: flex; align-items:flex-start; margin-bottom: 5px; } .list .title img{ width: 20px; margin-right: 10px; transform: translateY(6px); } .list .title span{ width: calc( 100% - 20px - 10px ); } @media only screen and (max-width: 700px) { .flex{ flex-direction:column; padding: 20px 0; } .flex-column-reverse{ flex-direction:column-reverse; } .flex .text{ width: 100%; } .flex .pic{ width: 100%; margin: 0 auto 20px; } } /* 隱藏整塊預設的spec表格 */ #specifications{ display: none !important; } /* 隱藏see all按鈕 */ .compare_btn_wrap{ display: none !important; } /* 隱藏#specifications按鈕 */ .scroll_tab .specifications-btn{ display: none !important; } </style> <section style="margin:0 auto 15px;max-width: 1140px; "> <div class="flex flex-column-reverse"> <div class="text"> <h3>Challenge：ARM Platforms vs. Rapid AI Iteration</h3> <p class="w1">The rapid growth in generative AI and edge computing has driven the demand for compact ARM-based edge AI platforms and drives continuous iteration of AI chips.<br /> <br /> However, the time-intensive development of ARM devices with built-in neural processing units (NPUs) struggles to keep up with the fast-evolving AI chip technology, making it difficult for these platforms to stay aligned with the latest advancements in AI.</p> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img1.jpg" /></div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex"> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img6.jpg" /></div> <div class="text"> <h3>Flexible AI on ARM edge AI Systems </h3> <p class="w1"><strong>Aetina AI on ARM </strong>edge AI system, the AIE-KR1B-B1, powered by the Rockchip RK3588, seamlessly integrates with various AI acceleration cards, offering inference power from 13 TOPS for entry-level to 214 TOPS for high-performance edge applications. It is designed to boost real-time video analysis and object detection performance for varying AI acceleration demands, while the ability to swap AI modules without redevelopment ensures a quicker time to market. </p> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Support diverse M.2 AI accelerators：Axelera, EdgeCortix, DeepX, MemryX, Hailo.</span></div> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Unlock inference performance from 13 TOPS to 214 TOPS for various AI acceleration demands in compact devices.</span><br /> </div> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Flexible & Cost-effective ARM-based solution for real-time object detection and video analysis.</span><br /> </div> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Unleash full potential of AI accelerator：M.2 Key M slot with PCIe Gen3 x4 signal, offering uncompromised bandwidth and faster data transfers.</span><br /> </div> </li> </ul> </div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex flex-column-reverse"> <div class="text"> <h3>Cutting-Edge Video Processing</h3> <p class="w1">The AIE-KR1B-B1 enables seamless real-time video analytics, making it the go-to platform for accelerating smart security and retail applications, including multi-camera surveillance and customer behavior insights.</p> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Support 32 Live 1080P Video Streams at 30 FPS</span></div> <p class="w1">AIE-KR1B-B1 significantly outperforms similarly priced x86 platforms that support only 7 to 13 channels.</p> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Up to 8K video decoding and encoding </span></div> <p class="w1">AIE-KR1B-B1 features high resolution and precision for video analytics by 8K video processing.</p> </li> </ul> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img3.jpg" /></div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex"> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img4.jpg" /></div> <div class="text"> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Versatile Networking Connectivity & Ample Storage</span></div> <p class="w1">With support for WiFi, Bluetooth, 4G/LTE, and Gigabit Ethernet (GbE), the AIE-KR1B-B1 ensures reliable connectivity for both wired and wireless communication in dynamic or remote edge environments. It also comes with 32GB of storage and an M.2 Key M slot that supports SATA, providing ample and versatile storage for various data processing needs.</p> </li> </ul> </div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex flex-column-reverse"> <div class="text"> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Comprehensive Customization Service</span></div> <p class="w1">Aetina offers comprehensive customization service including chip down design service, BSP customization for 3rd party devices, 3rd party software pre-installation and device integration service to accelerate the AI project development.</p> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Compact & Low Power Consumption</span></div> <p class="w1">The AIE-KR1B-B1 platform, with its compact M.2 form factor, offers a small footprint, low power consumption, and powerful AI computing, making it perfect for edge environments with space and power constraints.</p> </li> </ul> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img5.jpg" /></div> </div> <br /> <br />  <div class="Overview_form_wrap"> <h3>Specifications</h3> <table class="Spec_form"> <tbody> <tr> <td class="col_head">Model Number</td> <td 1="" class="form_title rigtt_border colspan=">AIE-KR1A-B1</td> <td 2="" class="form_title colspan=">AIE-KR1B-B1</td> </tr> <tr> <td class="col_head">CPU</td> <td colspan="2">Rockchip RK3588</td> </tr> <tr> <td class="col_head">Memory</td> <td class="rigtt_border">LPDDR4X 8GB</td> <td>LPDDR4X 16GB</td> </tr> <tr> <td class="col_head">Storage</td> <td colspan="2">32GB eMMC<br /> 1 x Micro-SD slot<br /> 1 x M.2 M-Key 2280 (SATA3) for Storage (Bottom Side)</td> </tr> <tr> <td class="col_head">Display</td> <td colspan="2">1 x HDMI 2.1 Type A (TMDS 3840x2160@60Hz)</td> </tr> <tr> <td class="col_head">Audio</td> <td colspan="2">1 x MIC-In, 1 x Line-Out, 1 x Line-In (Optional with daughter board)</td> </tr> <tr> <td class="col_head">LAN</td> <td colspan="2">2 x RJ45 GbE</td> </tr> <tr> <td class="col_head">USB</td> <td colspan="2">1 x USB 3.2 Gen1 (Type A)<br /> 1 x USB 2.0 (Type A)<br /> 1 x Type C for Programming</td> </tr> <tr> <td class="col_head">COM</td> <td colspan="2">1 x DB9 for RS-232 (TXD/RXD/CTS/RTS) / RS-485</td> </tr> <tr> <td class="col_head">Expansion Slot</td> <td colspan="2">1 x M.2 M-Key 2280 (PCIe 3.0 x4) for AI Accelerator (Top Side)<br /> 1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT<br /> 1 x Mini PCIe full-size (USB 2.0) for LTE w/micro SIM card holder</td> </tr> <tr> <td class="col_head">MISC. Function</td> <td colspan="2">1 x Power Button<br /> 1 x Reset Button<br /> 1 x Maskrom Button<br /> 1 x OOB function (Optional with OOB module)</td> </tr> <tr> <td class="col_head">Power Input /Connector</td> <td colspan="2">DC-in 12V / Terminal block 2-pin</td> </tr> <tr> <td class="col_head">Dimension (W x D x H)</td> <td colspan="2">155 x 123 x 51mm (6.10”x 4.84”x 2.01”)</td> </tr> <tr> <td class="col_head">Net Weight</td> <td>0.88 KG (1.94 lb)</td> </tr> <tr> <td class="col_head">Temperature</td> <td colspan="2">Operating Temperature: 0°C ~ +65°C (32°F~ 140°F)<br /> Storage Temperature: -40°C ~ +85°C (-40°F ~ 185°F)</td> </tr> <tr> <td class="col_head">Humidity</td> <td colspan="2">95% @ 40°C (Non-condensing)</td> </tr> <tr> <td class="col_head">OS Support</td> <td colspan="2">Debian 11</td> </tr> <tr> <td class="col_head">Certification</td> <td colspan="2">CE/FCC</td> </tr> </tbody> </table> </div> </section>

AIE-KR1A-B1 / AIE-KR1B-B1

Processor：

Rockchip RK3588

Expansion：

1 x M.2 M-Key 2280 (PCIe Gen3 x4) for AI Accelerator

1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT

1 x Mini PCIe full-size (USB 2.0) for LTE w/Micro SIM card holder
<dl> <dt>Processor：</dt> <dd>Rockchip RK3588 </dd> </dl> <dl> <dt>Expansion：</dt> <dd>1 x M.2 M-Key 2280 (PCIe Gen3 x4) for AI Accelerator (Top Side)</dd> </dl> <dl> <dt> </dt> <dd>1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT</dd> </dl> <dl> <dt> </dt> <dd>1 x Mini PCIe full-size (USB 2.0) for LTE w/micro SIM card holder</dd> </dl><style type="text/css">.Overview_form_wrap{ margin-top: 30px; padding-top: 30px; background: url(https://www.aetina.com/img/dot_line.gif) repeat-x center top; } .Overview_form_wrap h3{ font-size: 22px; color: #A4CC38; margin-bottom: 20px; } .Spec_form{ font-size: 14px; line-height: 1.7em; width: 100%; border-collapse: collapse; } .Spec_form tr{ border-bottom: 1px solid #ccc; } .Spec_form tr td:first-child{ color: #86aa27; } .Spec_form td{ padding: 5px 10px; } .Spec_form .form_title{ font-weight: bold; } .Spec_form .rigtt_border{ border-right: 1px solid #ccc; } .w1 { font-size: 14px; line-height: 26px; letter-spacing: 1px; color: RGB(51,51,51); text-decoration: none; background: none; } .text h3{ font-size: 18px; line-height: 26px; letter-spacing: 1px; font-weight: bold; color: #A4CC38; padding: 5px 0; } .text h4{ font-size: 16px; line-height: 26px; letter-spacing: 1px; font-weight: bold; color: #333; margin-bottom: 5px; } .flex{ display: flex; align-items: center; justify-content:space-between; padding: 40px 0; } .flex .text{ width: 60%; } .flex .pic{ width: 35%; } .flex .pic img{ width: 100%; } .ck_zone ul li{ list-style-type: none !important; } .list{ margin: 10px 0; padding-left: 0 !important; } .list li:first-child{ margin-bottom: 20px ; } .list .title{ color: #323C41; font-size: 15px; line-height: 26px; letter-spacing: 1px; font-weight: bold; display: flex; align-items:flex-start; margin-bottom: 5px; } .list .title img{ width: 20px; margin-right: 10px; transform: translateY(6px); } .list .title span{ width: calc( 100% - 20px - 10px ); } @media only screen and (max-width: 700px) { .flex{ flex-direction:column; padding: 20px 0; } .flex-column-reverse{ flex-direction:column-reverse; } .flex .text{ width: 100%; } .flex .pic{ width: 100%; margin: 0 auto 20px; } } /* 隱藏整塊預設的spec表格 */ #specifications{ display: none !important; } /* 隱藏see all按鈕 */ .compare_btn_wrap{ display: none !important; } /* 隱藏#specifications按鈕 */ .scroll_tab .specifications-btn{ display: none !important; } </style> <section style="margin:0 auto 15px;max-width: 1140px; "> <div class="flex flex-column-reverse"> <div class="text"> <h3>Challenge: ARM Platforms built in NPU vs. Rapid AI Advances</h3> <p class="w1">As generative AI and edge computing evolve rapidly, there is a rising demand for edge AI applications, prompting the demands of small, low-power ARM-based platforms.<br /> <br /> However, the time-consuming development of ARM edge devices with processors built in neural processing units (NPU) struggles to keep up with the rapid iteration of AI chips, making it challenging for them to keep up with AI advancements.</p> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img1.jpg" /></div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex"> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img2.jpg" /></div> <div class="text"> <h3>Expandable AI Accelerators on Advanced ARM Platform</h3> <h4>Elevate edge AI with flexible & budget-friendly solution</h4> <p class="w1">Aetina launches a new ARM edge devices that supports AI acceleration cards, offering various options for diverse applications. Switching AI on the ARM edge device does not require redevelopment!<br /> </p> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Flexible Solution：Support Diverse 2280 M.2 AI Accelerators – Axelera, EdgeCortix, DeepX, MemryX, Hailo </span></div> <p class="w1">Powered by the Rockchip RK3588, the AIB-MR1A-B1 delivers exceptional AI performance with versatile 2280 M.2 AI accelerator options. This advanced ARM on ARM platform significantly boosts AI capabilities, scaling from entry 13 TOPS to an impressive 214 TOPS. Combining robust performance and flexibility in a sleek, compact design, it’s perfectly suited for real-time video analysis and seamless deployment in space-constrained edge environments.</p> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Unleash Full Potential of AI Accelerator：M.2 Key M slot with PCIe Gen3 x4 Signal </span></div> <p class="w1">Compared with other ARM platforms utilizing PCIe Gen3x2, the AIB-MR1A-B1 features an M.2 Key M slot optimized with PCIe Gen3 x4 signals, offering extensive bandwidth and connectivity for high-speed data transfers. </p> </li> </ul> </div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex flex-column-reverse"> <div class="text"> <h3>Cost-Effective Platform with Superior Video Processing Capabilities</h3> <p class="w1">Powered by Rockchip RK3588, Aetina AIB-MR1A-B1 empowers real-time video analytics, making ideal for <strong>accelerating smart security and smart retail, such as multi-camera monitoring and customer behavior analysis.</strong><br /> </p> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Support 32 Live 1080P Video Streams at 30 FPS</span></div> <p class="w1">AIB-MR1A-B1 significantly outperforms similarly priced x86 platforms that support only 7 to 13 channels.</p> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Up to 8K video decoding and encoding </span></div> <p class="w1">AIB-MR1A-B1 features high resolution and precision for video analytics by 8K video processing.</p> </li> </ul> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img3.jpg" /></div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex"> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img4.jpg" /></div> <div class="text"> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Diverse Networking Connectivity & Extensive Storage Capability, Catering to Edge AI Applications</span></div> <p class="w1">The AIB-MR1A-B1 platform can be configured with WiFi, Bluetooth, 4G/LTE and Gigabit Ethernet (GbE), satisfying the networking connectivity requirements for wired or wireless, stable or mobile communication in remote or dynamic edge environments. In addition, the platform is built with 32GB of storage, providing extensive storage capacity. It includes an M.2 Key M slot on the bottom side that supports SATA, offering versatility for customers requiring substantial storage for their data processing needs.</p> </li> </ul> </div> </div> <div class="s_hr_2" style="margin: 0; padding: 0; line-height: 1px;"> <hr /></div> <div class="flex flex-column-reverse"> <div class="text"> <ul class="list"> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Comprehensive Customization Service</span></div> <p class="w1">Aetina offers comprehensive customization service including chip down design service, BSP customization for 3rd party devices, 3rd party software pre-installation and device integration service to accelerate the AI project development.</p> </li> <li> <div class="title"><img alt="" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/icon.svg" /> <span>Compact & Low Power Consumption</span></div> <p class="w1">The AIB-MR1A-B1 platform, designed in the compact M.2 form factor, features a small footprint and low power consumption while delivering powerful AI computing capabilities. This makes it an ideal choice for edge environments with limited space and power.</p> </li> </ul> </div> <div class="pic"><img alt="ARM Platforms" src="https://www.aetina.com/wp-content/uploads/2024/08/AIB-MR1A-A1_spec/img/img5.jpg" /></div> </div> <br /> <br />  <div class="Overview_form_wrap"> <h3>Specifications</h3> <table class="Spec_form"> <tbody> <tr> <td class="col_head">Model Number</td> <td class="form_title rigtt_border" colspan="2">AIB-MR1A-B1</td> <td><strong>AIB-MR1B-B1</strong></td> </tr> <tr> <td class="col_head">CPU</td> <td colspan="3">Rockchip RK3588</td> </tr> <tr> <td class="col_head">Memory</td> <td class="rigtt_border" colspan="2">LPDDR4X 8GB</td> <td>LPDDR4X 16GB</td> </tr> <tr> <td class="col_head">Storage</td> <td colspan="3">32GB eMMC<br /> 1 x Micro-SD slot<br /> 1 x M.2 M-Key 2280 (SATA) for Storage (Bottom Side)</td> </tr> <tr> <td class="col_head">Display</td> <td colspan="3">1 x HDMI 2.1 Type A (TMDS 3840X2160 60Hz)</td> </tr> <tr> <td class="col_head">LAN</td> <td colspan="3">2 x RJ45 GbE</td> </tr> <tr> <td class="col_head">Audio</td> <td colspan="3">1 x MIC-In, 1 x Line-Out, 1 x Line-In (Optional with daughter board)</td> </tr> <tr> <td class="col_head">USB</td> <td colspan="3">1 x USB 3.2 Gen1 Type A<br /> 1 x USB 2.0 Type A<br /> 1 x Type C for Programming</td> </tr> <tr> <td class="col_head">COM</td> <td colspan="3">1 x RS-232 (TXD/RXD/CTS/RTS)<br /> 1 x RS-485</td> </tr> <tr> <td class="col_head">GPIO</td> <td colspan="3">3 x GPIO</td> </tr> <tr> <td class="col_head">Expansion Slot</td> <td colspan="3">1 x M.2 M-Key 2280 (PCIe Gen3 x4) for AI Accelerator (Top Side)<br /> 1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT<br /> 1 x Mini PCIe full-size (USB 2.0) for LTE w/micro SIM card holder</td> </tr> <tr> <td class="col_head">MISC. Function</td> <td colspan="3">1 x Power Button<br /> 1 x Reset Button<br /> 1 x Maskrom Button<br /> 1 x OOB function (Optional with OOB module)</td> </tr> <tr> <td class="col_head">Power Input /Connector</td> <td colspan="3">DC-in 12V / Terminal Block 2-pin</td> </tr> <tr> <td class="col_head">Dimension (W x D)</td> <td colspan="3">131 x 120mm (5.16” x 4.72”)</td> </tr> <tr> <td class="col_head">Net Weight</td> <td colspan="2" rowspan="1">0.236 Kg (0.521 lb)</td> </tr> <tr> <td class="col_head">Temperature</td> <td colspan="3">Operating Temperature: 0°C ~ 70°C (32°F ~ 158°F)<br /> Storage Temperature: -40°C ~ 85°C (-40°F ~ 185°F)</td> </tr> <tr> <td class="col_head">Humidity</td> <td colspan="3">95% @ 40°C (Non-condensing)</td> </tr> <tr> <td class="col_head">OS Support</td> <td colspan="3">Debian 11</td> </tr> <tr> <td class="col_head">Certification</td> <td colspan="3">CE/FCC</td> </tr> </tbody> </table> </div> </section>

AIB-MR1A-B1 / AIB-MR1B-B1

Processor：

Rockchip RK3588

Expansion：

1 x M.2 M-Key 2280 (PCIe Gen3 x4) for AI Accelerator (Top Side)

1 x M.2 E-Key 2230 (PCIe 2.1 x1+USB 2.0) for WIFI/BT

1 x Mini PCIe full-size (USB 2.0) for LTE w/micro SIM card holder

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AIE-KR1A-B1 / AIE-KR1B-B1

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