AMD
Real-Time Motion Control on AMD Zynq UltraScale+
ctrlX OS devices powered by AMD Zynq™ UltraScale+™ adaptive SoCs deliver hard real-time control of up to 20 axes in production systems — combining deterministic motion control with the flexibility of an adaptive compute architecture.
Edge AI with AMD Ryzen AI Embedded
AMD Ryzen™ AI Embedded processors combine CPU, GPU and NPU on ctrlX OS devices, enabling AI inferencing, sensor fusion and vision workloads directly at the edge — alongside real-time control on the same hardware.
Advantages
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Production-proven since 2019: AMD Zynq™ UltraScale+™ in ctrlX OS devices, up to 20 axes hard real-time
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“Ready to deploy” images: pre-validated ctrlX OS with AI drivers for AMD hardware, no integration work required
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IEC 62443 SL2 certified out of the box, CRA-ready architecture
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Ryzen™ AI Embedded combines CPU, GPU and NPU for Edge AI on the same device as real-time control
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Broad scaling from embedded x86 to adaptive SoC/FPGA across performance classes
Target Groups
- Machine Builder
- System Integrator
Topology
AMD Zynq™ UltraScale+™ adaptive SoCs and Ryzen AI Embedded processors form the compute layer beneath ctrlX OS devices (like ctrlX CORE). ctrlX OS runs directly on this AMD silicon, combining real-time control, I/O and Edge AI inferencing on a single, pre-validated hardware platform.
About AMD
AMD is a global semiconductor company driving high-performance and adaptive computing for data centers, embedded systems, gaming and PCs. Founded in 1969 and headquartered in Santa Clara, California, AMD’s Embedded Solutions portfolio spans Ryzen and EPYC Embedded processors, adaptive SoCs and FPGAs for industrial, automotive and edge AI applications.
Statement:
"The next generation of AMD embedded processors are optimized for demanding edge applications. For machine manufacturers, the key factor is how quickly they can leverage this performance for specific applications. With ctrlX OS, they obtain direct access to a growing ecosystem of industrial applications and functions on platforms based on AMD embedded processors. This allows them to implement new applications without having to develop a separate software stack for each hardware platform," says Amey Deosthali, Head of Robotics, Industrial, and Healthcare at AMD.