AAEON Introduces BOXER-8651AI Mini PC: Harnessing NVIDIA Jetson Orin NX for Optimal Performance

September 25, 2023 by our News Team

AAEON's BOXER-8651AI is a powerful, fanless embedded AI System that utilizes the NVIDIA Jetson Orin NX module and Ampere architecture GPU to deliver accelerated graphics, data processing, and image classification, as well as a range of connectivity options and rugged features for deployment in challenging environments.

  • Powered by NVIDIA Jetson Orin NX module
  • Utilizes NVIDIA Ampere architecture GPU
  • Rugged design with temperature range of -5°F to 131°F (-15°C to 55°C)

AAEON, a designer and manufacturer of AI solutions, has recently launched its latest creation, the BOXER-8651AI. This compact and fanless embedded AI System is powered by the impressive nVidia Jetson Orin NX module, making it a force to be reckoned with in the industry.

One of the standout features of the BOXER-8651AI is its utilization of the NVIDIA Ampere architecture GPU, which boasts 1024 CUDA and 32 Tensor Cores. This, combined with support for NVIDIA JetPack 5.0 and above, enables users to experience accelerated graphics, data processing, and image classification like never before.

Despite its small size, measuring just 105 mm x 90 mm x 52 mm, the BOXER-8651AI manages to pack a punch when it comes to connectivity. The device offers a range of interfaces, including DB-9 and DB-15 ports for RS-232 (Rx/Tx/CTS/RTS)/RS-485, CANBus, and DIO functions. It also features HDMI 2.1 display output, GbE LAN, and various USB Type-A ports that support both USB 3.2 Gen 2 and USB 2.0 functionality.

What sets the BOXER-8651AI apart from its competitors is its ability to withstand rugged conditions. With a temperature range of -5°F to 131°F (-15°C to 55°C), as well as anti-shock and vibration resistance features, this PC is built to thrive in challenging environments. Its compact design also makes it ideal for wall-mounted deployment across a wide range of industries.

In terms of storage, the BOXER-8651AI offers an M.2 3052 B-Key slot that can accommodate M.2 2242 B+M Key SSDs, as well as an M.2 2230 E-Key slot. This ensures that users can fully leverage the power of the NVIDIA JetPack 5.0 software stack. Furthermore, these expansion options provide support for add-on modules, enabling seamless wireless communication through features like 5G, Wi-Fi, and Bluetooth.

Excitingly, the BOXER-8651AI is now available for order through both the AAEON eShop and its standard sales channels. For more detailed information about this impressive AI system, be sure to visit the product page on AAEON’s website.

AAEON Introduces BOXER-8651AI <strong><a href="https://pcge.eu/product/mini-pc/" Alt="Learn more about Mini PC">Mini PC</a></strong>: Harnessing NVIDIA Jetson Orin NX for Optimal Performance

AAEON Introduces BOXER-8651AI Mini PC: Harnessing NVIDIA Jetson Orin NX for Optimal Performance

AAEON Introduces BOXER-8651AI Mini PC: Harnessing NVIDIA Jetson Orin NX for Optimal Performance

About Our Team

Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

Background Information

About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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.

Tensor Cores: Tensor Cores are a type of specialized hardware designed to accelerate deep learning and AI applications. They are used in the computer industry to speed up the training of deep learning models and to enable faster inference. Tensor Cores are capable of performing matrix operations at a much faster rate than traditional CPUs, allowing for faster training and inference of deep learning models. This technology is used in a variety of applications, including image recognition, natural language processing, and autonomous driving. Tensor Cores are also used in the gaming industry to improve the performance of games and to enable more realistic graphics.

Leave a Reply