With new-age technologies like the Internet of Things, Machine Learning, and Artificial Intelligence, companies are reimagining and creating intelligent multimedia applications by merging physical reality and digital information in innovative ways. A multimedia solution involves audio/video codec, image/audio/video processing, edge/cloud applications, and in a few cases AR/VR as well. This blog will talk about the software infrastructure involved for an embedded video processor core in any multimedia solution.

Edge AI is the combination of edge computing and edge intelligence to run machine learning tasks directly on end devices. It generally consists of an in-built microprocessor and sensors, while the data processing task is completed locally and stored at the edge node end. The implementation of machine learning models in edge AI will decrease the latency rate and improve the network bandwidth.

Private, public, or hybrid, cloud solutions for any business domain are designed to provide the freedom to grow and security for the organization and customer data.

This article will provide a high-level overview of how verification of any SOM or any carrier card we call a development kit, need to go through different verification and validation before handing off new solutions to end-user as per their product requirement and how they can contribute to the success of any automated testing process.
 

Versal ACAP devices are used for a wide range of applications such as data center, Wireless 5G, AI/ML, A & D Radars, Automotive, and wired applications.

VITIS is a unified software platform for developing software and hardware, using Vivado and other components for Xilinx FPGA SoC platforms like ZynqMP UltraScale+ and Alveo cards. The key component of VITIS SDK, the VITIS AI runtime (VART), provides a unified interface for the deployment of end ML/AI applications on Edge and Cloud.

2020 was a landmark year for the graphics cards market. AMD and Nvidia were joined by Intel, who re-entered the graphics processor (GPU) market nearly 22 years after it launched the i740 in 1998. The buzz is also growing around a fourth player, Huawei, potentially joining the GPU market with big plans in the data center.