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Video processing and AI

4K video and edge inference

For 4K video encoding and decoding, choose EV devices with an integrated VCU. For AI inference, Versal AI Engines or an MLSoC accelerate image recognition at the edge.

ZU7EVVersalMLSoC

System-on-Modules (5)

SoM

Andromeda Versal XVE70

AMD Versal AI Edge

Next-generation Versal adaptive SoC (in development). Targets edge-AI inference.

SoM

Lynx SAI50 (MLSoC Modalix)

SiMa.ai MLSoC Modalix

SoM built around an MLSoC dedicated to edge-AI inference, for efficient low-power AI.

SoM

Mercury+ XU61

AMD Zynq UltraScale+ MPSoC

Ultra-compact low-power SoM with LPDDR4, for portable and low-power embedded video work.

SoM

Mercury+ XU8

AMD Zynq UltraScale+ ZU4CG/5EV/7

Supports EV devices with integrated H.264/H.265 codecs, for video processing and transcoding.

SoM

Mercury+ XU9

AMD Zynq UltraScale+ MPSoC

High-performance MPSoC SoM. A Mercury+ model suited to video and signal processing.

FPGA modules (1)

FPGA modules

Mercury+ KX2

AMD Kintex 7 FPGA

High-I/O Kintex 7 FPGA module with built-in GbE and USB 2.0 interfaces, for video processing.

IP cores (2)

IP cores

Universal DSP Library

DSP IP optimised for FPGAs

DSP IP library optimised for FPGAs, accelerating signal-processing design.

IP cores

Universal Drive Controller

Motor drive control IP

Motor and drive control IP core for industrial motion control.

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