I Built an Apple Inference Server for Real-time Object Detection
Nicolai Nielsen16 June 2026Watch on YouTube
Description
Inside my school and program, I teach you my system to become an AI engineer or freelancer. Life-time access, personal help by me and I will show you exactly how I went from below average student to making $250/hr. Join the High Earner AI Career Program here 👉 https://www.nicolai-nielsen.com/aicareer (PRICES WILL INCREASE SOON) You will also get access to all the technical courses inside the program, also the ones I plan to make in the future! Check out the technical courses below 👇 _____________________________________________________________ In this video 📝 we're going to take a look at the new app inference server that I have built out to process computer vision models and multiple streams in the most efficient way simultaneously. All the Ultralytics YOLO models are supported for inference, segmentation, pose estimation, and all other tasks. Everything is plug-and-play; you just need to provide the model and the devices, then hook up the streams.Everything works out of the box. You can stack multiple Apple hardware devices together and process multiple streams for each device, and there is a centralized dashboard controlling all of it. If you enjoyed this video, be sure to press the 👍 button so that I know what content you guys like to see. _____________________________________________________________ 🛠️ Freelance Work: https://www.nicolai-nielsen.com/nncode _____________________________________________________________ 💻💰🛠️ High Earner AI Career Program: https://www.nicolai-nielsen.com/aicareer 📈 Investment Course: https://www.nicos-school.com/p/investment-course ⚙️ Real-world AI Technical Courses: (https://www.nicos-school.com) 📗 OpenCV GPU in Python: https://www.nicos-school.com/p/opencv-gpu-course 📕 YOLOv7 Object Detection: https://www.nicos-school.com/p/yolov7-custom-object-detection-with-deployment 📒 Transformer & Segmentation: https://www.nicos-school.com/p/transformer-and-segmentation-course 📙 YOLOv8 Object Tracking: https://www.nicos-school.com/p/yolov8-object-tracking-course 📘 Research Paper Implementation: https://www.nicos-school.com/p/research-paper-implementation 📔 CustomGPT: https://www.nicos-school.com/p/customgpt-course _____________________________________________________________ 📞 Connect with Me: 🌳 https://linktr.ee/nicolainielsen 🌍 My Website: https://www.nicolai-nielsen.com/ 🤖 GitHub: https://github.com/niconielsen32 👉 LinkedIn: https://www.linkedin.com/in/nicolaiai 🐦 X/Twitter: https://twitter.com/NielsenCV_AI 🌆 Instagram: https://www.instagram.com/nicolaicodes/ _____________________________________________________________ 🇦🇪 Want to move to Dubai and get Visa? - Book a free consultation: https://www.genzoneconsulting.com/meetings/schedule-session/nny _____________________________________________________________ 📷 My camera calibration software, CharuCo Boards, and Checker boards Link to webshop: https://camera-calibrator.com _____________________________________________________________ Timestamps: Tags: #yolo26 #applehardware #macmini #appleinference #coreml
What you'll learn
- You learn how to build an inference server on Apple hardware for real-time object detection using YOLO models
- The system efficiently processes multiple video streams simultaneously on Apple devices
- A centralized dashboard provides control over all connected Apple devices and their processing tasks
- All Ultralytics YOLO models work plug-and-play, including segmentation and pose estimation
- You can stack and combine multiple Apple hardware devices for scalable inference