ASRock Industrial proudly announces the NVIDIA Jetson AGX Orin Developer Kit, a powerful AI computing platform delivering supercomputer performance for edge AI, robotics and advanced industrial applications. This advanced developer kit powered by NVIDIA Jetson AGX Orin Series (Industrial/64 GB/32 GB), providing outstanding AI computing performance of up to 275 TOPs. It supports up to four 4-lane MIPI or GMSLII cameras and 12 POE ports for computer vision applications and includes two PCIe Gen 4 x8 slots, one M.2 Key M/B/E expansion slots for storage, 5G/4G LTE, and Wi-Fi connectivity for seamless system integration.

With up to -25 to 50°C wide operating temperature and automation-specific I/O functions, this exceptional performance comes in a compact, energy-efficient form factor, representing a significant leap forward in edge AI computing capabilities for manufacturers, system integrators and developers. The Jetson AGX Orin Developer Kit is ideal for Robotics, AMR, drones, remote cargo control, smart retail, and smart city applications, providing flexible camera integration and TPM 2.0 for security, reliable operations in harsh industrial environments.

As COMPUTEX 2025, one of the most anticipated global tech events, prepares to open its doors in Taipei, AI applications are set to reach new heights. GIGAIPC, the industrial computing and edge AI subsidiary of GIGABYTE Technology, will unveil three innovative AI edge computing solutions at COMPUTEX 2025, showcasing its expertise in industrial-grade system design. Powered by NVIDIA Jetson Orin modules, the flagship QN-ORAX32-A1, QN-ORNX16GH-A1, and QN-ORNX16 deliver exceptional AI performance for smart manufacturing, intelligent surveillance, smart healthcare, smart retail, and AIoT applications, setting new benchmarks for edge computing.

The QN-ORAX32-A1, built on the NVIDIA Jetson AGX Orin 32 GB module, features an 8-core Arm v8.2 64-bit CPU and an NVIDIA Ampere GPU with 1792 CUDA cores and 56 Tensor cores, delivering up to 200 TOPS of AI performance—six times faster than its predecessor. This enhanced computing power makes it well-suited for high-load data processing and complex AI models. Beyond its computing performance, the QN-ORAX32-A1 is also built for real-world deployment. To ensure long-term durability in harsh industrial environments, the system incorporates a fanless thermal design and wide-range DC power input.

ASUS today joined GTC 2025 as a Diamond sponsor to showcase the latest ASUS AI POD with the NVIDIA GB300 NVL72 platform. The company is also proud to announce that it has already garnered substantial order placements, marking a significant milestone in the technology industry. At the forefront of AI innovation, ASUS also presents the latest AI servers in the Blackwell and HGX family line-up. These include ASUS XA NB3I-E12 powered by NVIDIA B300 NVL16, ASUS ESC NB8-E11 with NVIDIA DGX B200 8-GPU, ASUS ESC N8-E11V with NVIDIA HGX H200, and ASUS ESC8000A-E13P/ESC8000-E12P supporting NVIDIA RTX PRO 6000 Blackwell Server Edition with MGX architecture. With a strong focus on fostering AI adoption across industries, ASUS is positioned to provide comprehensive infrastructure solutions in combination with the NVIDIA AI Enterprise and NVIDIA Omniverse platforms, empowering clients to accelerate their time to market.

By integrating the immense power of the NVIDIA GB300 NVL72 server platform, ASUS AI POD offers exceptional processing capabilities—empowering enterprises to tackle massive AI challenges with ease. Built with NVIDIA Blackwell Ultra, GB300 NVL72 leads the new era of AI with optimized compute, increased memory, and high-performance networking, delivering breakthrough performance.

AAEON (stock code: 6579), a leading provider of edge AI platforms, today announced the release of the BOXER-8641AI-Plus, an embedded AI system powered by the NVIDIA Jetson AGX Orin module designed for the smart healthcare space. The BOXER-8641AI-Plus offers a number of advanced features, including an RJ-45 port that supports 10G LAN, two DB-9 ports for RS-232/422/485 (Rx/Tx/RTS/CTS), and a third DB-9 port offering an 8-bit DIO interface. In addition to this, the system contains expansion slots for Wi-Fi/BT and 5G in the form of an M.2 2230 E-Key and an M.2 3052 B-Key, which serve to provide wireless connectivity in addition to its onboard interfaces.

The system is FCC Class B certified, making it compliant with electromagnetic susceptibility (EMS) standards, making it suitable for operation in healthcare settings without electromagnetic interference (EMI) from other equipment. Moreover, the certification means the BOXER-8641AI-Plus meets electromagnetic compatibility (EMC) standards, ensuring it can be deployed without causing electromagnetic interference (EMI) that could affect equipment deployed alongside it.

ADLINK Technology Inc., a global leader in edge computing, unveiled its new "DLAP Supreme Series", an edge generative AI platform. By integrating Phison's innovative aiDAPTIV+ AI solution, this series overcomes memory limitations in edge generative AI applications, significantly enhancing AI computing capabilities on edge devices. Without increasing high hardware costs, the DLAP Supreme series achieves notable AI performance improvements, helping enterprises reduce the cost barriers of AI deployment and accelerating the adoption of generative AI across various industries, especially in edge computing.

Lower AI Computing Costs and Significantly Improved Performance
As generative AI continues to penetrate various industries, many edge devices encounter performance bottlenecks due to insufficient DRAM capacity when executing large language models, affecting model operations and even causing issues such as inadequate token length. The DLAP Supreme series, leveraging aiDAPTIV+ technology, effectively overcomes these limitations and significantly enhances computing performance. Additionally, it supports edge devices in conducting generative language model training, enabling them with AI model training capabilities and improving their autonomous learning and adaptability.

AAEON Technology Inc. (stock code: 6579), a leading designer and manufacturer of industrial and embedded computers, today announced the release of the BOXER-8642AI, a fanless embedded AI computer featuring eight independent 10 Gbps USB ports, powered by either a 32 GB or 64 GB NVIDIA Jetson AGX Orin module.
Built for the smart retail market, the BOXER-8642AI is able to support multiple Intel RealSense D405 3D cameras for high and wide bandwidth image processing to facilitate inferencing tasks conducive to applications such as AI-assisted self-checkout kiosks.

The BOXER-8642AI's design is suitable for reliable, around-the-clock operation in various retail environments, as indicated by its 12 V to 24 V power input range and -25°C and 55°C temperature tolerance. Moreover, AAEON claims the device's standout feature, its selection of 10 Gbps USB ports, have been tested to ensure they can withstand continuous on/off cycling while maintaining a drop-rate of less than 0.1%.

As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large language models is one challenge, but delivering LLM-powered real-time services is another. In the latest round of MLPerf industry benchmarks, Inference v4.1, NVIDIA platforms delivered leading performance across all data center tests. The first-ever submission of the upcoming NVIDIA Blackwell platform revealed up to 4x more performance than the NVIDIA H100 Tensor Core GPU on MLPerf's biggest LLM workload, Llama 2 70B, thanks to its use of a second-generation Transformer Engine and FP4 Tensor Cores.

The NVIDIA H200 Tensor Core GPU delivered outstanding results on every benchmark in the data center category - including the latest addition to the benchmark, the Mixtral 8x7B mixture of experts (MoE) LLM, which features a total of 46.7 billion parameters, with 12.9 billion parameters active per token. MoE models have gained popularity as a way to bring more versatility to LLM deployments, as they're capable of answering a wide variety of questions and performing more diverse tasks in a single deployment. They're also more efficient since they only activate a few experts per inference - meaning they deliver results much faster than dense models of a similar size.

AAEON, a leading designer and manufacturer of AI Edge solutions, has today confirmed that its Fanless Embedded AI System, the BOXER-8640AI, will support the newly released NVIDIA Jetpack 6.0 software development kit.

The NVIDIA Jetpack 6.0 SDK is equipped with a range of new features conducive to accelerating AI application development, such as Jetson Platform Services, a modular, API-driven suite of pre-built and cloud-native software services.

MSI, a world leader in AI PC and AIoT solutions, is going to participate in COMPUTEX 2024 from 6/4 to 6/7. With cutting-edge skills, MSI's AIoT team has been focusing on product development and hardware-software integration for AI applications in recent years, achieving great results on application development in various fields. MSI will create an exclusive exhibition area for Smart City to introduce AIoT application scenarios which have five topics including AI & Datacenter, Automation, Industrial Solutions, Commercial Solutions, and Automotive Solutions.

The most iconic products this year are diverse GPU platforms for AI markets and a new CXL (Compute Express Link) memory expansion server which was developed by the cooperation of key players in the CXL technology field, including AMD, Samsung, and Micron. Besides, the latest Autonomous Mobile Robot (AMR) powered by NVIDIA Jetson AGX Orin is also one of the major highlights. For new energy vehicles, we will first disclose the complete AC/DC chargers coupled with MSI E-Connect dashboard (EMS) and AI-powered car recognition applications to show the one-stop service of HW/SW integration.

Aetina launches its new fanless edge AI systems powered by NVIDIA Jetson Orin system-on-modules (SoMs), including the NVIDIA Jetson AGX Orin, Orin NX, and Orin Nano. These embedded box PCs are designed in a compact enclosure with a heat sink for efficient cooling. The heat sink reduces maintenance efforts for system owners after deployment. The new fanless systems have an operating temperature range of -25°C to +55°C, making them suitable for AI-powered application development across different verticals.

NVIDIA Jetson Orin NX and Orin Nano-Based Fanless Systems
AIE-CN31/41, AIE-CO21/31, AIE-PN32/42, and AIE-PO22/32 are Aetina's latest fanless system models built with an NVIDIA Jetson Orin NX or Orin Nano SoM. Featuring necessary M.2 expansion slots and I/O ports in a small-sized form factor, these systems enable easy system integration for space-limited applications. With low power consumption, the fanless system models can efficiently handle most AI inference tasks, making them ideal for AI projects that involve mass device deployment in different locations.

Aetina teams up with CVEDIA to launch advanced AI-powered video analytics solutions for enhanced public safety, smarter cities and safer traffic networks. The solutions involve Aetina's embedded computers built with the latest NVIDIA Jetson Orin system-on-modules (SoMs) and CVEDIA's synthetic AI models, enabling low-latency object and human motion detections at the edge. By adopting AI-enabled video analytics, security companies and system integrators can optimize operations and enhance security measures. During ISC West 2023, Aetina and CVEDIA will showcase the solutions to demonstrate how they leverage deep learning to accurately detect, track, and analyze objects and events from videos, enabling businesses to quickly generate insights and improve their decision-making processes.

Aetina's embedded computers that support the NVIDIA Jetson AGX Orin, Orin NX, or Orin Nano SoMs are designed for the creation of different types of vertical AI. The embedded computers provide the computing power for CVEDIA's AI solutions to run real-time inference processes; they are also compatible with any kind of camera to receive high-resolution videos for the analytics tasks.

AAEON, an industry leading provider of edge AI solutions, will present new additions to its extensive line of platforms powered by NVIDIA Jetson system-on-modules during GTC, a global conference on AI and the metaverse. As a gold sponsor of the conference, which offers over 650 discussions, panels, and events from industry leaders in the AI space, AAEON highlights upcoming products from their range of embedded Box PCs across the entire NVIDIA Jetson Orin series; including NVIDIA Jetson AGX Orin, NVIDIA Jetson Orin NX, and NVIDIA Jetson Orin Nano.

The BOXER-8645AI and BOXER-8646AI systems will join BOXER-8640AI and BOXER-8641AI, which were released in December 2022, as part of AAEON's product range powered by the NVIDIA Jetson AGX Orin. Equipped with one HDMI 2.1 and eight GMSL2 ports, the BOXER-8645AI will possess an exceptional interface for peripheral devices, making it particularly suitable for AMR applications. The BOXER-8646AI meanwhile, will feature an astonishing 12 PoE LAN ports, giving customers a versatile smart city solution.

Aetina Corporation, a leading provider of AI solutions for the creations of different types of vertical AI, will showcase its new embedded computers, AI inference platforms, GPUs, AI accelerators, and edge devices management software at upcoming Embedded World 2023. Aetina provides different types of form factors based on GPUs or ASICs, such as MXMs, graphic cards, and edge computing systems. The MXMs that are powered by NVIDIA Ampere architecture-based GPU offer extra computing power to existing AI systems, ensuring low-latency data analytics tasks. The MXMs and systems that are built with ASICs, on the other hand, are ideal for the creation of any specific applications or AI systems that involve multi-inference processes.

As an Elite member of the NVIDIA Partner Network, Aetina offers a variety of edge computing systems and platforms powered by the NVIDIA Jetson edge AI and robotics platform. Aetina's newly released embedded computers are built with the Jetson Orin series SoMs—Jetson AGX Orin, Jetson Orin NX, and Jetson Orin Nano ; these small-sized systems and platforms, supporting different peripherals, can be easily integrated into larger AI-powered systems while also being able to function as a standalone AI computer.

Following the Consumer Electronics Show (CES), AAEON introduced a number of additions to its line of award-winning AI edge solutions, powered by the new NVIDIA Jetson Orin system-on-module platform.

The first products are the BOXER-8641AI and BOXER-8640AI, which were first announced back in March, following the release of the NVIDIA Jetson AGX Orin developer kit, and are both powered by Jetson AGX Orin 32 GB modules. These are followed by the more recently planned BOXER-8646AI, which will also utilize the Jetson AGX Orin module.

AAEON, an industry leading developer of edge computing platforms, is happy to announce that it has joined the Azure Certified Device program, ensuring customers get IoT solutions up and running quickly with hardware and software that has been pre-tested and verified to work with Azure IoT. This certification assures that AAEON's new NVIDIA Jetson AGX Orin -powered BOXER-8641AI has been tested for functionality and interoperability, ensuring that it has used the Microsoft reference configuration to become one of the market's first Azure-certified NVIDIA Jetson Orin devices.

This announcement illustrates AAEON's continued innovation in the edge AI space, as the BOXER-8641AI has been validated to work with Azure and the latest versions of IoT Edge. Such a certification gives AAEON customers confidence that when choosing the BOXER-8641AI for their application, it is fully IoT Edge compatible.

Bringing new AI and robotics applications and products to market, or supporting existing ones, can be challenging for developers and enterprises. The NVIDIA Jetson AGX Orin 32 GB production module—available now—is here to help. Nearly three dozen technology providers in the NVIDIA Partner Network worldwide are offering commercially available products powered by the new module, which provides up to a 6x performance leap over the previous generation.

With a wide range of offerings from Jetson partners, developers can build and deploy feature-packed Orin-powered systems sporting cameras, sensors, software and connectivity suited for edge AI, robotics, AIoT and embedded applications. Production-ready systems with options for peripherals enable customers to tackle challenges in industries from manufacturing, retail and construction to agriculture, logistics, healthcare, smart cities, last-mile delivery and more.

With the announcement of the NVIDIA Jetson AGX Orin developer kit, AAEON is excited to utilize the many benefits that such a powerful system-on-module (SOM) can bring to its own product lines. With the same form factor and pin compatibility as the NVIDIA Jetson AGX Xavier, but with an improvement from 32 TOPS to 275 TOPS, the NVIDIA Jetson AGX Orin is set to make it easier than ever to develop faster, more sophisticated AI applications.

AAEON is therefore pleased to announce two upcoming products available in Q4 which will feature the Jetson AGX Orin 32 GB and Jetson AGX Orin 64 GB as their respective processor modules: the BOXER-8260AI and BOXER-8261 AI@Edge Embedded BOX PCs. Both products will feature the NVIDIA JetPack 5.0 SDK to support the full Jetson software stack to help in the development of AI applications in areas such as high-end autonomous machinery. With two NVIDIA deep learning accelerators (NVDLA), along with a 32 GB 256-bit system memory, the BOXER-8260AI will provide the perfect device for vision-based AI applications. Moreover, its expansive I/O options include 12 RJ-45 slots for PoE, along with DB-9 slots for CANbus and six DIO.