Advanced ML capabilities for Pro AV and broadcast platforms

February 12, 2020 //By Wisse Hettinga
Advanced ML capabilities for Pro AV and broadcast platforms
Xilinx unveils industry's first HDMI 2.1 implementation on 7nm Versal ACAP devices for 8K deployment

Xilinx  announced a range of new and advanced machine learning (ML) capabilities for Xilinx devices targeted at the professional audio/video (Pro AV) and broadcast markets. Additionally, Xilinx unveiled the industry's first demonstration of a programmable HDMI 2.1 implementation on its 7nm Versal™ devices. 

Newly available ML capabilities for Xilinx Pro AV and broadcast platforms include region-of-interest encoding, intelligent digital signage, automatic object tracking and window cropping, and speech recognition. Customers can now take advantage of these ML capabilities on Xilinx devices, including the already highly integrated Zynq® UltraScale+™ MPSoC platform, for AI edge processing. The combination of real-time audio and video processing, AV connectivity interfaces, codecs, IP networking, CPU, and GPU into an adaptable and scalable single-chip solution can provide users with significant space, power, and cost savings.

Xilinx also launches the industry's first programmable HDMI 2.1 implementation on its 7nm Versal™ devices, built on the first adaptive compute acceleration platform (ACAP). The ACAP is a revolutionary new category of heterogeneous compute devices with capabilities far exceeding those of conventional CPUs, GPUs and FPGAs.

With data rates up to 48Gbps, HDMI 2.1 supports a range of higher video resolutions and frame rates, including 8K60 and 4K120, for a more immersive experience in LED walls, large format displays, digital signage, and applications that rely on fast-moving video such as live sports. Developed in preparation for this, HDMI 2.1 support on Versal ACAP will allow customers to transmit, receive and process up to 8K (7680 x 4320 pixels) ultra-high-definition (UHD) video.

The 7nm Versal ACAP offers scalar, adaptable and intelligent engines in a software-programmable silicon infrastructure, providing a tight coupling between embedded software, multichannel AV processing pipelines, and AI inferencing. Additionally, combining real-time video processing, AV connectivity interfaces, codecs, IP networking, CPU, GPU and more into a single-chip solution means that customers can save space, power, and cost.

More information at www.xilinx.com


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