Aetina introduces fanless edge AI systems to support the growing number of IoT devices and diverse application needs.
- High-performance AI computing capabilities of up to 100 TOPS and 40 TOPS, powered by NVIDIA Jetson Orin NX and Orin Nano modules
- Flexible I/O interface options to handle diverse connectivity and real-time data processing requirements for various sensors and devices at the edge
- A range of fanless edge AI systems to cater to the unique needs of different industries and applications, including models with PSE ports, USB ports, and M.2 M-Key slots
The global market for edge artificial intelligence (AI) is experiencing rapid growth, driving the need for reliable and high-performance edge AI inference devices. Aetina, a important provider of edge AI solutions, has announced the launch of its advanced fanless expansion edge AI systems – the AIE-PN33/43 series and AIE-PO23/33 series. These systems are powered by nVidia Jetson Orin NX and Orin Nano modules, delivering impressive AI computing performance of up to 100 TOPS and 40 TOPS respectively, along with flexible I/O interface options. Designed to seamlessly handle connectivity and real-time data processing requirements for various sensors and devices at the edge, these solutions empower industries worldwide to efficiently deploy a wide range of AI applications.
According to Statista’s ‘Number of IoT connected devices worldwide 2019-2030’ report, the number of Internet of Things (IoT) devices globally is projected to exceed 29 billion by 2030. In response to this growing number of IoT devices and the diverse I/O and storage needs of different AI applications, Aetina has introduced a range of fanless edge AI systems. This lineup includes models such as the AIE-PN33/43-2PSE and AIE-PN33/43-4PSE, which offer 2 or 4 sets of PSE ports respectively. Additionally, there are models like the AIE-PN33/43-6USB and AIE-PO23/33-6USB, each featuring 6 sets of USB ports, as well as the AIE-PN33/43-3M and AIE-PO23/33-3M, equipped with 3 sets of M.2 M-Key slots. Users can choose the most suitable product model based on their specific AI application requirements, whether it involves addressing wiring challenges in diverse environments like ports or traffic roadside monitoring, fulfilling multi-sensor connectivity needs for defect detection in smart factories or automated production lines, or expanding storage capacity for real-time image recognition tasks. These solutions are poised to accelerate the deployment of advanced AI intelligence applications across a wide range of industries.
Joe Lo, the General Manager of Aetina, expressed the company’s commitment to developing industrial-grade solutions that cater to the unique needs of their customers. Leveraging their technical expertise and integration capabilities, Aetina enables various industries to swiftly implement AI applications at every edge of their business.
As an Elite member of the NVIDIA Partner Network and part of the NVIDIA Jetson ecosystem, Aetina will showcase its latest fanless edge AI systems at booth 337 during the nVidia GTC global AI conference, taking place from March 18-21 at the SAN Jose Convention Center and online. In addition to this, Aetina will demonstrate vision AI solutions, including license plate recognition, which revolutionize efficiency in port and transportation operations. Furthermore, Aetina will highlight how generative AI optimizes edge-based intelligent applications.
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M.2: M.2, also known as Next Generation Form Factor (NGFF), is a computer expansion card format that is designed to replace the outdated mSATA standard. It is thinner and longer than mSATA, which gives it a much higher data transfer rate. The M.2 format measures 22mm in width and can measure up to 110mm in length. It uses the M-key and B-key connectors to interface with PC host systems, and can connect to both SATA III and PCIe for data transfer. Due to its small size, M.2 is often used for ultra-slim laptops and netbooks, as well as in embedded SSDs for tablets and other mobile devices. It is also becoming increasingly popular in the desktop computer industry, thanks to its compactness and fast transfer speeds. This makes M.2 ideal for gaming PCs, workstations, and other demanding applications that require high levels of data throughput.
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SAN: A Storage Area Network (SAN) is a high-speed and specialized network architecture designed to facilitate the connection of storage devices, such as disk arrays and tape libraries, to servers. Unlike traditional network-attached storage (NAS), which is file-based, SAN operates at the block level, enabling direct access to storage resources. SANs are known for their performance, scalability, and flexibility, making them ideal for data-intensive applications, large enterprises, and environments requiring high availability. SANs typically employ Fibre Channel or iSCSI protocols to establish dedicated and fast communication paths between servers and storage devices. With features like centralized management, efficient data replication, and snapshot capabilities, SANs offer advanced data storage, protection, and management options. Overall, SAN technology has revolutionized data storage and management, enabling organizations to efficiently handle complex storage requirements and ensure reliable data access.
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