Advantech Launches Hailo-8 AI Modules for Enhanced Vision Processing Efficiency

Advantech introduces AI Acceleration Modules

Advantech is stepping up its game in the world of AIoT with the launch of two impressive AI acceleration modules: the EAI-1200 and EAI-3300. Both of these modules are powered by the powerful Hailo-8 AI processors, boasting an astonishing AI performance of up to 52 TOPS. But what really sets them apart? They achieve over 12 times the power efficiency compared to other AI modules and GPU cards on the market. Talk about a game changer!

Seamless Integration for Developers

Designed in standard M.2 and PCIe form factors, the EAI-1200 and EAI-3300 are all about flexibility. Whether you’re working with x86 or ARM-based platforms, these modules can be integrated effortlessly into existing systems and boards. This means developers can quickly upgrade their setups to harness the power of AI without the hassle of starting from scratch. Imagine being able to run inference efficiently on the Hailo-8 NPU while letting your CPU handle application processing—sounds like a dream for resource optimization, right?

User-Friendly Software Toolkits

But wait, there’s more! Advantech isn’t just stopping at hardware. They’re also providing a suite of user-friendly software toolkits to make your life easier. The Edge AI SDK ensures seamless integration with HailoRT, while the Dataflow Compiler helps convert existing models into something that can be used with these new modules. And let’s not forget TAPPAS, which offers pre-trained application examples to jumpstart your projects. With all these tools at your disposal, developing edge-based vision AI applications has never been simpler.

EAI-1200 M.2 AI Module: Perfect for Vision AI Security

Let’s dive a bit deeper into the EAI-1200. This M.2 AI module is powered by a single Hailo-8 VPU, delivering up to 26 TOPS of computing power while sipping just 5 watts. It’s designed to operate in extreme temperatures, thanks to an optional heatsink that supports a range from -40 to 65°C. This makes it a fantastic fit for Advantech’s systems and boards, like the ARK-1221L, AIR-150, and AFE-R770. Think of all the potential applications: from baggage screening at airports to enhancing workforce safety and powering autonomous mobile robots (AMR). The possibilities are exciting!

EAI-3300 PCIe AI Card: A Powerhouse for Medical Imaging

Now, let’s talk about the EAI-3300. This PCIe AI acceleration card is a true powerhouse, equipped with dual Hailo-8 VPUs that deliver a whopping 52 TOPS of AI processing power while consuming up to 15 watts. Its low-profile design makes it easy to integrate into a variety of chassis configurations, and it can operate reliably in temperatures ranging from -40 to 70°C. This card is perfect for demanding applications like medical imaging analysis, traffic monitoring, and defect inspection. Imagine the impact this could have in industries where precision is key!

Availability and Next Steps

Excited yet? The EAI-1200 Hailo-8 M.2 AI Acceleration Module is already available for purchase. If you’re interested in bundled solutions or have any questions, don’t hesitate to reach out to your local sales support team. As for the EAI-3300 PCIe AI Acceleration Card, you can expect it to hit the market by the end of December. For more details on these innovative products and other products from Advantech, make sure to check out their website. The future of AI acceleration is here, and it’s looking bright!

Background Information

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About ARM:

ARM, originally known as Acorn RISC Machine, is a British semiconductor and software design company that specializes in creating energy-efficient microprocessors, system-on-chip (SoC) designs, and related technologies. Founded in 1990, ARM has become a important player in the global semiconductor industry and is widely recognized for its contributions to mobile computing, embedded systems, and Internet of Things (IoT) devices. ARM's microprocessor designs are based on the Reduced Instruction Set Computing (RISC) architecture, which prioritizes simplicity and efficiency in instruction execution. This approach has enabled ARM to produce highly efficient and power-saving processors that are used in a vast array of devices, ranging from smartphones and tablets to IoT devices, smart TVs, and more. The company does not manufacture its own chips but licenses its processor designs and intellectual property to a wide range of manufacturers, including Qualcomm, Apple, Samsung, and NVIDIA, who then integrate ARM's technology into their own SoCs. This licensing model has contributed to ARM's widespread adoption and influence across various industries.

  

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Technology Explained

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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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.

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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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NPU: NPU, or Neural Processing Unit, is a type of specialized processor that is designed to handle complex artificial intelligence tasks. It is inspired by the structure and function of the human brain, with the ability to process and analyze large amounts of data simultaneously. In the computer industry, NPU technology is being used in various applications such as speech recognition, image and video processing, and natural language processing. This allows computers to perform tasks that were previously only possible for humans, making them more efficient and intelligent. NPU technology is also being integrated into smartphones, self-driving cars, and other devices, making them smarter and more responsive to user needs. With the increasing demand for AI-driven technology, the use of NPU is expected to grow and revolutionize the way we interact with computers in the future.

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PCIe: PCIe (Peripheral Component Interconnect Express) is a high-speed serial computer expansion bus standard for connecting components such as graphics cards, sound cards, and network cards to a motherboard. It is the most widely used interface in the computer industry today, and is used in both desktop and laptop computers. PCIe is capable of providing up to 16 times the bandwidth of the older PCI standard, allowing for faster data transfer speeds and improved performance. It is also used in a variety of other applications, such as storage, networking, and communications. PCIe is an essential component of modern computing, and its applications are only expected to grow in the future.

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