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The AMD Kria AI Robotics Developer Platform combines CPU, GPU, NPU, and FPGA computing for physical AI development. It pairs a Kria AI system-on-module with a robotics carrier card to support projects spanning autonomous mobile robots, industrial automation, mobile manipulators, and humanoids.
| Feature | Specification |
|---|---|
| Processor | AMD Ryzen AI Embedded X199 with a 16-core CPU. |
| GPU & NPU | GPU rated at 60 FP16 TFLOPS; NPU delivering up to 50 TOPS. |
| Adaptive Computing | Spartan UltraScale+ FPGA on the robotics carrier card. |
| Memory Options | 64GB or 128GB LPDDR5X. |
| Ethernet | Two 1/2.5/5GbE RJ45 ports and two 1GbE RJ45 ports for EtherCAT/TSN. |
| Industrial Interfaces | Two CAN-FD interfaces and one RS485 interface. |
| Camera Connectivity | Four GMSL2/3 camera channels and four GMSL1/2 camera channels via FAKRA connectors. |
| Form Factor | System-on-module, carrier card, and thermal enclosure. |
The platform supports the AMD Robotics Software Suite, built on AMD ROCm software and ROS 2. Optimized libraries, AI SDKs, simulation tools, and reference applications provide a foundation for developing perception, reasoning, and robot-control workflows.
Explore how CPU processing, GPU acceleration, NPU inference, and programmable logic can work together within a robotics application. Benchmark individual tasks and the complete pipeline to identify the performance and timing characteristics your project needs.
Connect compatible cameras, sensors, and controllers to evaluate your robot’s perception and behavior. Select the memory configuration and peripherals around your models, sensor streams, and application requirements.
Contact RoboLearn for AMD Kria AI Robotics Developer Platform configurations, compatible accessories, pricing, and availability.
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