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Adaptive Computing


Your source for Adaptive Computing announcements, customer success stories, industry trends, and more.


The AMD Kria SOM family helps tackle the processing challenges from the explosion of sensor data that is being produced at the edge. 

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Inverter control for electric vehicle (EV) charging stations, sensor fusion for handheld medical devices, motor control for power generation systems, public transportation, autonomous multi-axis industrial robots, and medical equipment.

Digital signal processing (DSP)-intensive applications at the edge all have unique requirements. Among those requirements is the need to meet the space and power constraints of the edge and adapt to constant changes. At the same time, embedded system architects and application developers are under pressure to move fast and simplify processes, whether in design, manufacturing, getting to market, or ongoing product management.

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The AMD Robotics Innovation Challenge invites participants to explore the benefits and advantages of AMD Kria SOMs to create solutions that integrate adaptive computing into their robotics projects.

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The multimedia needs of today’s modern house of worship, enterprise workplace, and even professional video studio has grown significantly in the past 10 years. Today’s content creators demand equipment and infrastructure that supports high-quality, low-latency video free from the restrictions imposed by traditional baseband video interfaces such as HDMI, DisplayPort, or SDI.  Creators want long transmission distances, multi-channel video, and flexible routing of audio and video essences, just to name a few. 

 

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With the Kria ODM Partner Ecosystem, users can enjoy a turnkey experience with a full software stack and application support backed by established partners with a track record of success.

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The Xilinx App Store makes it easy for you to evaluate, purchase, and deploy accelerated applications. You can be deploying effortlessly in the cloud with AWS or running your apps on-premise in under 10 minutes!

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Two new downloadable apps that can significantly cut development time of certain industrial applications are now available from AMD’s Kria™ App Store. Used in conjunction with AMD’s modestly priced Kria KR260 Robotics Starter Kit (US$349), these apps that were developed for the Ubuntu 22.04 LTS certified KR260 boards, help developers build complex, hardware-accelerated industrial systems with minimal Linux and no FPGA expertise required. 

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How does an inquisitive high school student prototype an edge AI platform and publish his findings in an IEEE paper? With a Kria™ SOM.

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AMD Kria SOMS help users achieve design simplicity. 

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At Xilinx Adapt 2021 last week, Victor Mayoral Vilches, Robotics and Cybersecurity System Architect at Xilinx, introduced the Kria™ robotics stack (KRS). You can still register and watch (On-Demand) both his presentations--Bringing Adaptive Computing to Robotics and ROS 2 Acceleration from Adapt 2021. The latter introduces KRS as an integrated set of robot libraries and utilities that use hardware to accelerate the development, maintenance, and commercialization of industrial-grade robotic solutions targeting Kria SOMs. It adopts the Robot Operating System 2 (ROS 2) Software Development Kit (SDK) and enables a ROS 2-centric development approach.

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