The future of AI at the edge has arrived, and ASRock Industrial is leading the way. With Super Mode support for the iEP-6010E Series and iEP-6010E Series Dev Kit, powered by NIVIDIA Jetson Orin NX and Jetson Orin Nano modules and optimized with NVIDIA JetPack 6.2 SDK, this upgrade supercharges AI acceleration, unlocking up to 2X faster generative AI performance. Delivering unprecedented inference speeds, real-time decision-making, and superior power efficiency, Super Mode is redefining edge AI computing - Powering everything from predictive maintenance and anomaly detection to AI-driven medical imaging, intelligent surveillance, and autonomous mobility - pushing performance beyond limits, faster, smarter, and more efficient than ever before. Whether driving Edge AI computing, real-time vision processing, intelligent autonomous vehicles, advanced robotics, industrial automation, or smart city infrastructure, ASRock Industrial's latest innovation empowers industries with cutting-edge AI capabilities that drive real-world transformation.

A Quantum Leap in Edge AI Performance
The iEP-6010E Series and iEP-6010E Series Dev Kit, now optimized with Super Mode, provides:

• Up to 2X Faster Gen AI Processing - Up to 157 TOPS (Sparse) on Orin NX 16 GB (Super) and 67 TOPS (Sparse) on Orin Nano 8 GB (Super), delivering blazing-fast generative AI performance for automation, robotics, and real-time vision systems.
• Optimized Power Boost and Efficiency - Supports power modes up to 40 W / MAXN Super on Orin NX and 25 W / MAXN Super on Orin Nano, while maintaining high-performance AI workloads in power-sensitive environments, making it ideal for industrial automation and smart city infrastructure.
• NVIDIA JetPack 6.2 Support - Fully compatible with the latest NVIDIA JetPack 6.2 SDK, offering enhanced libraries, frameworks, and tools to accelerate advanced AI development.

Axiomtek - a world-renowned leader relentlessly devoted to the research, development, and manufacture of innovative, highly efficient, and reliable industrial computer products - is thrilled to unveil an electrifying upgrade that its AIE100, AIE110, and AIE900 series edge AI systems are going to gear up to support NVIDIA's game-changing Super Mode for NVIDIA Jetson Orin Nano and Orin NX series modules, launching this year with the NVIDIA JetPack 6.2 software development kit release.

This enhancement catapults performance to new heights, supercharging groundbreaking applications like local AI chatbots, real-time computer vision, and advanced robotics. Axiomtek's commitment to pioneering edge AI solutions just got even stronger, marking another milestone in its strategic collaboration with NVIDIA, as a Preferred member of the NVIDIA Partner Network with an Embedded Compute competency.

ASUS IoT, a global leader in AIoT solutions, today announced that ASUS IoT edge AI computers powered by the NVIDIA Jetson Orin platform have been upgraded to enable the new Super mode. This upgrade increases AI TOPS by up to 1.7X, memory bandwidth by up to 1.5X, and Gen AI model performance by up to 2X.

Up to 1.7X AI TOPS and extensive compatibility with Super mode
Since it enhances AI TOPS by up to 1.7X, Super mode enables a wide range of Gen AI models, including large language models (LLMs), visual language models (VLMs), and vision transformers (ViTs). Jetson Orin modules support popular machine learning frameworks such as Hugging Face Transformers, Ollama, llama.cpp, vLLM, MLC, NVIDIA TensorRT-LLM, and more. This makes them excellent options for edge applications, robotics, and multimodal systems.

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.

GIGABYTE Technology, internationally renowned for its R&D capabilities and a leading innovator in server and data center solutions, continues to lead technological innovation during this critical period of AI and computing advancement. With its comprehensive AI product portfolio, GIGABYTE will showcase its complete range of AI computing solutions at CES 2025, from data center infrastructure to IoT applications and personal computing, demonstrating how its extensive product line enables digital transformation across all sectors in this AI-driven era.

Powering AI from the Cloud
With AI Large Language Models (LLMs) now routinely featuring parameters in the hundreds of billions to trillions, robust training environments (data centers) have become a critical requirement in the AI race. GIGABYTE offers three distinctive solutions for AI infrastructure.
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NVIDIA's brand new 25 Watt "little tiny Jetson Nano" - the Jetson Orin Nano Super - capable of 67 trillion operations per second (TOPS) of AI performance, is going to generate a lot of heat that could limit its performance if the device isn't supported by adequate cooling. Thanks to the high AI performance of the Jetson Orin Nano Super, breakthrough AI models such as NVIDIA Isaac for robotics, NVIDIA Metropolis for vision AI, and NVIDIA Holoscan for sensor processing, NVIDIA Omniverse Replicator for synthetic data generation (SDG) and NVIDIA TAO Toolkit for fine-tuning pretrained AI models may now run at the Edge, delivering compute efficiency, reduced latency and data privacy. But without adequate heat dissipation, the Jetson Orin Nano Super will be forced to throttle, significantly reducing its performance and diminishing the capabilities of Edge AI applications supported including robotics, industrial automation, smart cities, healthcare, and retail analytics.

AirJet PAK 5C-25 from Frore Systems, can provide the full 25 Watts of cooling NVIDIA's Jetson Orin Nano Super needs. The AirJet PAK 5C-25 is a fully self-contained, autonomous, plug and play, solid-state active cooling thermal module, that is thin, silent, dustproof, water resistant, and enables the full performance of the Jetson Nano Super, even in the toughest operating conditions. The AirJet PAK 5C-25 can be combined with the Jetson Orin Nano Super to remove 25 Watts of heat, even in industrial grade casings that are ultra compact, silent, vibration free, dustproof and water-resistant. These industrial grade casings, enabled by the AirJet PAK, are massively smaller and lighter than comparable fanless casings that require large, heavy heat sinks to dissipate heat.

NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists and students, gains in generative AI capabilities and performance. And the price is now $249, down from $499.

Available today, it delivers as much as a 1.7x leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102 GB/s compared with its predecessor. Whether creating LLM chatbots based on retrieval-augmented generation, building a visual AI agent, or deploying AI-based robots, the Jetson Orin Nano Super is an ideal solution to fetch.

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.

To accelerate humanoid development on a global scale, NVIDIA today announced it is providing the world's leading robot manufacturers, AI model developers and software makers with a suite of services, models and computing platforms to develop, train and build the next generation of humanoid robotics.

Among the offerings are new NVIDIA NIM microservices and frameworks for robot simulation and learning, the NVIDIA OSMO orchestration service for running multi-stage robotics workloads, and an AI- and simulation-enabled teleoperation workflow that allows developers to train robots using small amounts of human demonstration data.

While it was keen to show off its earlier released Live Gamer ULTRA 2.1 (GC553G2) USB and Live Gamer 4K 2.1 (GC575) PCIe HDMI 2.1 capture cards which have recently got a big firmware update, giving them 4K144 capture, support for 5.1 multi-channel audio, and support for Windows 11 Dynamic Lighting, AVerMedia had a lot of other new things to show at the Computex 2024 show, including the new Premium Go Series, which includes the world's first Capture Dock, the X'tra Go GC515, the Elite Go GC313Pro and Core Go GC313 GaN charger and capture device, new AVerMedia Streaming Center software, and a couple of NVIDIA Jetson Orin NX-based Box PCs for edge AI.

As said, the new AVerMedia Premium Go Series kicks off with the X'tra Go GC515, which is the world's first Capture Dock for various handheld devices. The Xtra Go GC515 does exactly what you think it does, and that is record 4K30 or 1080p120 footage from a handheld gaming device with just a simple click and without a computer. It is compatible with popular models like Nintendo Switch, Steam Deck, ROG Ally, and probably most other handheld consoles. Of course, since it does not require a PC, it records everything on a microSD card. The Premium Go Series also features GaN chargers with video capture capability, including the Elite Go GC313Pro, a 100 W charger with HDMI 4K60 output, USB-C 1080p60 capture, and an ability to charge multiple device. There is also the Core Go GC313 GaN charger and capture device, which allows users to display their video signal on a monitor at up to 4K60 via HDMI while the device is charging.

AVerMedia, a pioneer in digital multimedia, is thrilled to announce its participation in COMPUTEX 2024, taking place from June 4-7, 2024, at the Taipei Nangang Exhibition Center. Visit us at booth L1309a (Hall 1, 4F) to explore our latest innovations designed to empower creators, streamers, and professionals in the digital age.

Under the theme "Create and Connect", AVerMedia will showcase a range of groundbreaking solutions. These include the new Premium Go Series for handheld device charging and capturing, an award-winning streaming software that integrates all essentials for diverse streaming applications, advanced solutions for next-gen gameplay streaming, a comprehensive series of video conference tools to enhance remote communication and collaboration, and innovative embedded solutions that push the boundaries of what's possible in the digital multimedia landscape.

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.

The global edge artificial intelligence (AI) market is booming, which has accelerated the urgent demand for reliable, high-performance, and highly flexible edge AI inference devices. Aetina, a leading global edge AI solution provider, announces the release of its cutting-edge fanless versatile expansion edge AI systems - the AIE-PN33/43 series and AIE-PO23/33 series. These innovative systems are powered by NVIDIA Jetson Orin NX and Orin Nano modules, offering outstanding AI computing performance of up to 100 TOPS and 40 TOPS respectively, along with flexible I/O interface options. Designed to seamlessly handle the connectivity and real-time data processing needs of various sensors and devices at the edge, these solutions help empower industries worldwide to efficiently deploy an extensive 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 worldwide is forecasted to exceed 29 billion by 2030. In response to the growing number of IoT devices and the diverse I/O and storage needs of different AI applications, Aetina has unveiled a range of fanless edge AI systems. This lineup includes the AIE-PN33/43-2PSE and AIE-PN33/43-4PSE, boasting 2 or 4 sets of PSE ports respectively; the AIE-PN33/43-6USB and AIE-PO23/33-6USB, each integrating 6 sets of USB ports; and 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 wide-ranging environments like ports or traffic roadside monitoring, fulfilling multi-sensor connectivity needs for smart factory defect detection 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 diverse industries.

SmartCow, an AI engineering company specializing in building complex hardware and software solutions for artificial intelligence at the edge, announces the launch of their latest product, Uranus Plus, an AI fanless embedded system powered by the latest NVIDIA Jetson Orin NX and Jetson Orin Nano system-on-modules. With its thermally efficient design and compact form factor, Uranus Plus is suitable for various smart applications. Uranus Plus comes with options for 5G, 4G, and Wi-Fi connectivity and includes a 256Gb NVMe SSD, enabling the simultaneous operation of multiple neural networks and processing of high-resolution images, enhancing a groundbreaking benchmark in AI-driven capabilities at the edge with support up to 100 TOPS of AI compute.

Uranus Plus supercharges vision AI application development at the edge with NVIDIA Metropolis Microservices for Jetson through app stack modernization. Uranus Plus developers now get access to the latest generative AI capabilities through simple API calls, along with a far faster path to development and cloud-native deployment of vision AI applications at the far edge.

Cisco today unveiled the next milestone of its ongoing work with NVIDIA to deliver AI-powered meetings for hybrid workers. Cisco announced the launch of Room Kit EQX and the expansion of its Cinematic Meetings capabilities—both powered by NVIDIA's AI engine—with the goal of enhancing collaboration experiences with audio and video intelligence and enabling more equitable hybrid meetings.

"In order for people to want to come to the office, companies must fundamentally reimagine and reconfigure workspaces to provide seamless and immersive collaboration experience," said Jeetu Patel, Executive Vice President and General Manager, Cisco Security and Collaboration. "Our collaboration with NVIDIA helps make this possible as we expand our portfolio of AI-powered solutions that unlock the potential of hybrid workers."

ZOTAC TECHNOLOGY, a global manufacturer focused on innovation, launches the world's first Mini PC featuring the AirJet Solid-State Active Cooling system, as well as a lineup of ARM-based, lightweight edge computing platforms based on the NVIDIA Jetson system on module (SoM).

ZBOX PI430AJ WITH AIRJET, THE WORLD'S FIRST SOLID-STATE ACTIVE-COOLED MINI-PC
First debuted at COMPUTEX 2023, the ZBOX PI430AJ with AirJet is the first product of its kind to feature revolutionary Solid-State Active Cooling technology. With each unit featuring two AirJet Mini Modules by Frore Systems, these thin, silent modules are capable of removing significant heat through rapid airflow, raising the ZBOX PI430AJ's thermal ceiling without compromising its form factor. Taking advantage of the newfound possibilities enabled by the AirJet, the ZBOX PI430AJ is equipped with an Intel Core i3 processor, 8 GB LPDDR5 memory, M.2 SSD storage slot, and more - all within a system the size of a deck of cards.

The rumors of Nintendo's next-generation Switch handheld gaming console have been piling up ever since the competition in the handheld console market got more intense. Since the release of the original Switch, Valve has released Steam Deck, ASUS made ROG Ally, and others are also exploring the market. However, the next-generation Nintendo Switch 2 is closer and closer, as we have information about the chipset that will power this device. Thanks to Kepler_L2 on Twitter/X, we have the codenames of the upcoming processors. The first generation Switch came with NVIDIA's Tegra X1 SoC built on a 20 nm node. However, later on, NVIDIA supplied Nintendo with a Tegra X1+ SoC made on a 16 nm node. There were no performance increases recorded, just improved power efficiency. Both of them used four Cortex-A57 and four Cortex-A53 cores with GM20B Maxwell GPUs.

For the Nintendo Switch 2, NVIDIA is said to utilize a customized variant of NVIDIA Jetson Orin SoC for automotive applications. The reference Orin SoC carries a codename T234, while this alleged adaptation has a T239 codename; the version is most likely optimized for power efficiency. The reference Orin design is a considerable uplift compared to the Tegra X1, as it boasts 12 Cortex-A78AE cores and LPDDR5 memory, along with Ampere GPU microarchitecture. Built on Samsung's 8 nm node, the efficiency would likely yield better battery life and position the second-generation Switch well among the now extended handheld gaming console market. However, including Ampere architecture would also bring technologies like DLSS, which would benefit the low-power SoC.

AAEON, a global leader in edge AI computing, has unveiled the BOXER-8621AI, its inaugural fanless embedded AI System powered by the NVIDIA Jetson Orin Nano module. Geared towards applications such as AMR, fleet management, and traffic control solutions, the BOXER-8621AI seamlessly combines the NVIDIA Jetson Orin Nano's impressive 20 TOPS of AI performance and NVIDIA Jetpack 5.0 SDK support with robust hardware, ensuring extended durability and longevity even in challenging environments. To bolster its resilience, the system boasts an operating temperature range of -15°C to 60°C, complemented by enhanced shock and vibration resistance.

The BOXER-8621AI is equipped with an array of interfaces tailored to its designated deployment domains. These include DB-9 and DB-15 ports for RS-232/422/485, CANBus, and GPIO, all backed by high-bandwidth LPDDR5 system memory. The system also incorporates four USB Type-A ports (two offering USB 3.2 Gen 2, and two offering USB 2.0), an RJ-45 port for gigabit LAN, and an HDMI 1.4 port for display output. In terms of expansion capabilities, the system features an M.2 3042/3052 B-Key slot to accommodate 4G, 5G, as well as M.2 2242 B and M-Key storage modules. Additionally, it contains an M.2 2230 E-Key slot, granting Wi-Fi, Bluetooth, and additional storage as needed.

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.

ASUS IoT, the global AIoT solution provider, today announced PE1100N, a unmatched, ultra-compact computer for AI inferencing at the edge, and based on the next-generation and world-leading NVIDIA Jetson Orin series. It features a fanless design for quiet operation, rich industrial connectivity for serious flexibility and supports a wide range of power inputs and operating temperatures for maximum versatility and durability.

With the powerful Jetson platform, featuring an efficient Arm processor and embedded NVIDIA GPU, PE1100N delivers energy-efficient computing with powerful AI-inferencing capabilities, making it ideal for diverse, scalable edge AI applications in smart city, transportation, manufacturing and more - including traffic analysis, people-tracking, counting and surveillance. Also, PE1100N's compact size and anti-vibration design make it especially ideal for smart manufacturing solutions, such as automated guided vehicle (AGVs), autonomous mobile robots (AMRs), AI-powered automated optical inspection (AOI) and robotics applications - accelerating time to market for AI applications.

In a new industry-standard benchmark, a cluster of 3,584 H100 GPUs at cloud service provider CoreWeave trained a massive GPT-3-based model in just 11 minutes. Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models (LLMs) powering generative AI.

H100 GPUs set new records on all eight tests in the latest MLPerf training benchmarks released today, excelling on a new MLPerf test for generative AI. That excellence is delivered both per-accelerator and at-scale in massive servers. For example, on a commercially available cluster of 3,584 H100 GPUs co-developed by startup Inflection AI and operated by CoreWeave, a cloud service provider specializing in GPU-accelerated workloads, the system completed the massive GPT-3-based training benchmark in less than eleven minutes.

Axiomtek - a world-renowned leader relentlessly devoted to the research, development, and manufacture of series of innovative and reliable industrial computer products of high efficiency - is pleased to introduce the AIE110-XNX, its new edge AI developer kit powered by the NVIDIA Jetson Xavier NX platform which features 6-core NVIDIA Carmel ARM v8.2 64-bit CPU delivering up to 21 TOPS of accelerated AI computing performance and integrates an advanced 384-core NVIDIA Volta GPU with 48 Tensor Cores. Aimed to save effort on system integration and reduce complexity for embedded developers, the AIE110-XNX enables users to develop AI solutions on a friendly budget with no limit of minimum order. The palm-sized edge AI developer kit is ideal for makers, learners, and system integrators to build more AI innovation with little effort.

"The AI boom is happening all over the world, and it is now available for everyone. Catching the AI wave with faster responding and more efficiency, Axiomtek's AIE110-XNX can be quickly engaged to be the AIE100-903-FL-NX for smart city, the IP67-rated AIE800-904-FL for outdoor edge AI applications, the AIE900-XNX for robotics and AMR or self-service kiosk applications. It can also be flexibly transitioned to a new generation platform with upgraded AI performance such as NVIDIA Jetson Orin NX, NVIDIA Jetson Orin Nano, and more," said Annie Fu, a Product Manager of the AIoT Team at Axiomtek. "In addition, the AIE110-XNX has reserved mounting holes on the bracket, which helps system integrators to easily start development right out of the box."

Goldkey and IIoT technology manufacture company SECO have announced a strategic collaboration for the Asia-Pacific (APAC) region. The collaboration involves mutual specification of both companies' products, joint customer approach, and promotion of CLEA, the IoT-AI platform developed by SECO, towards existing and potential opportunities with Goldkey DRAM solutions under the auspices of SECO Microelectronics and Goldkey Technology Corporation. The Memorandum of Understanding (MoU) was signed at NürnbergMesse on 14th March 2023.

Complementing the company's expansion of DRAM development in the Industrials sector Vicky Tseng, CEO of Goldkey Technology Corporation states: "The collaboration underlines the symbiosis between both companies. SECO's innovations in IoT hardware which include cyber-security firmware and the AI software-platform address the need for all-encompassing least-complicated answers to modern IoT requirements," adding "SECO is indeed an industry forerunner in highly advanced IIoT technology, and together with Goldkey's industrial-DRAM portfolio, we are confident to providing comprehensive solutions to meeting unique requirements of customers in the region."

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.