About
AI-driven applications in industrial automation, robotics, automotive, and scientific instrumentation demand high inference performance with low, predictable latency and long-term reliability. These demands can only be met by local AI processing for which AMD offers complementary embedded AI platforms.
The Ryzen AI Embedded processor family integrates CPU, GPU, and NPU compute engines on a single SoC, supporting CNNs, vision transformers, SLMs, and LLMs via mature open source software stacks.
The Versal AI Edge Gen 2 Adaptive SoC combines high-performance scalar cores, a dedicated neural engine, and programmable logic to deliver single-chip end-to-end pipelines spanning sensor fusion, perception, analytics, and HMI.
Demonstrated applications include 120 FPS object detection with YOLOv8m on Versal AI Edge Gen 2 and real-time optical flow inference on the Ryzen AI iGPU using PyTorch + ROCm at 30 FPS.
AMD's unique combination of CPU, GPU, NPU, and programmable logic, backed by mature open-source software stacks, enables intelligence at the edge with low and predictable latency, scalable throughput, and functional safety.
The talk
Credits and licence
- Institution
- CERN
- Speaker
- Thomas Gmeinder
- Year
- 2026
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed