Posts by Ivan Tikhonov
Ultralytics YOLO on AMD GPUs: Train, Run, and Deploy with ROCm™
- 26 October 2026
Ultralytics YOLO is the most popular open-source framework for real-time computer vision. With just a few lines of Python, developers can train and deploy YOLO models for a range of tasks, including object detection, segmentation, tracking, pose estimation, and image classification.
Building a GPU-Resident YOLO26 Object Detection Pipeline on the AMD Radeon™ AI PRO R9700 GPU
- 03 July 2026
Modern AMD GPUs include a dedicated hardware block for video processing called the Video Core Next (VCN) engine. By chaining VCN directly into machine learning frameworks, you can build an object detection pipeline where a video frame stays in VRAM from decode to the final bounding boxes. The host sees only the surviving detections.