Industry News

AMD Introduces Embedded Architecture to Accelerate Time to Market for Edge AI Applications

Views : 24
Update time : 2024-02-21 09:58:12
        AMD announced AMD Embedded+, a new architectural solution that combines AMD Ryzen™ embedded processors with Versal™ adaptive SoCs on a single integrated board to deliver scalable and energy-efficient solutions that help original design manufacturer (ODM) partners accelerate time to market.
 
 
        Proven by AMD, the Embedded+ integrated computing platform helps ODM customers reduce qualification and build time, resulting in faster time to market without spending additional hardware and R&D resources. ODM integration using the Embedded+ architecture supports the use of common software platforms to develop low-power, small form factor and long lifecycle designs for medical, industrial and automotive applications. 
        In automated systems, the value of sensor data diminishes over time, so it is important to operate on the most up-to-date information to achieve the lowest latency, deterministic response," said Chetan Khona, senior director of industrial, vision, healthcare and scientific markets at AMD. In industrial and medical applications, many decisions need to be made in milliseconds.Embedded+ maximizes the value of partner and customer data, and its energy efficiency and high-performance computing enable customers to focus on meeting customer and market needs." 
        For the first time in its class, the Embedded+ architecture combines leading-edge AMD x86 computing with integrated graphics and programmable hardware for critical AI inference and sensor fusion applications. Adaptive computing excels in deterministic, low-latency processing, while the AI engine increases high-performance inference per watt. 
        Ryzen embedded processors include a high-performance "Zen" core and Radeon™ graphics, as well as world-class rendering and display options to enhance the 4K multimedia experience, and a built-in video codec for 4K H.264/H.265 encoding and decoding. 
        The combination of low-latency processing and high-performance per-watt inference enables high performance for mission-critical tasks, including real-time integration of adaptive computing with flexible I/O, an AI engine for inference, and AMD Radeon graphics in a single solution that leverages the best performance of each technology.
Related News
Read More >>
How many chips does a car need? How many chips does a car need?
Sep .19.2024
Automotive chips can be divided into four types according to their functions: control (MCU and AI chips), power, sensors, and others (such as memory). The market is monopolized by international giants. The automotive chips people often talk about refer to
Position and Function of Main Automotive Sensors Position and Function of Main Automotive Sensors
Sep .18.2024
The function of the air flow sensor is to convert the amount of air inhaled into the engine into an electrical signal and provide it to the electronic control unit (ECU). It is the main basis for determining the basic fuel injection volume. Vane type: The
Chip: The increasingly intelligent electronic brain Chip: The increasingly intelligent electronic brain
Sep .14.2024
In this era of rapid technological development, we often marvel at how mobile phones can run various application software smoothly, how online classes can be free of lag and achieve zero latency, and how the functions of electronic devices are becoming mo
LDA100 Optocoupler: Outstanding Performance, Wide Applications LDA100 Optocoupler: Outstanding Performance, Wide Applications
Sep .13.2024
In terms of characteristics, LDA100 is outstanding. It offers AC and DC input versions for optional selection, enabling it to work stably in different power supply environments. The small 6-pin DIP package not only saves space but also facilitates install