Live Session: Edge AI with Ultralytics, DEEPX & Sixfab
Join Ultralytics, DEEPX, and Sixfab for a live session exploring how Ultralytics YOLO models run on ultra-efficient DEEPX NPUs across Raspberry Pi and industrial edge AI platforms. Learn how to export, compile, and optimize real-time YOLO inference for computer vision applications, from rapid prototyping to scalable production deployments.
What Happens in This 60-Minute Session:
• Dive into Ultralytics and DEEPX are enabling fast, efficient YOLO inference on NPU-powered edge AI hardware
• Learn how to export and deploy compiled models on DEEPX NPUs for real-time, on-device inference
• Explore low-latency, ultra-efficient AI processing designed for production-grade edge AI workloads
State-of-the-art computer vision models optimized for real-time inference. Train your YOLO models and natively export them for direct deployment on DEEPX-powered edge AI hardware.
Ultra-low-power hardware accelerators that run YOLO models at GPU-class accuracy. Frame-per-second per watt efficiency at unmatched levels.
🏆 CES 2026 Best of Innovation – ALPON X5 AI
Production-ready systems from prototyping to industrial deployment. Built for scalable, connected, and fleet-ready edge AI deployments.
Choose a YOLO model Annotate & train Natively export for DEEPX Deploy on Sixfab edge AI hardware.
Enabling real-time inference with low latency, ultra-efficient power consumption, and production-ready reliability.
Meet the Speakers
As VP of Growth at Sixfab, Okan pairs 12+ years of experience in hardware engineering, startup co-founding, and business strategy with a keen understanding of what it takes to scale foundational technology. He drives global growth for the platform that brings reliable compute and connectivity to the field, turning complex technology into real-world competitive advantage.
Francesco Mattioli is a Partnership and Ecosystem Manager at Ultralytics, the world’s leading open-source vision AI company. In his role, he collaborates closely with partners to advance the performance, scalability, and real-world deployment of state-of-the-art computer vision models.
Lakshantha Dissanayake is an Embedded Computer Vision Engineer at Ultralytics, the world’s leading open-source vision AI company. In his role, he advances the performance, scalability, and real-world deployment of state-of-the-art computer vision models.
As Strategic Marketing Director at DEEPX, Tim leverages his MBA and AI expertise to drive the vision of ubiquitous AI. With eight years of experience, he accelerates global growth and brand awareness for DEEPX’s low-power, high-performance edge solutions across robotics, smart mobility, and IoT, solving complex AI industry challenges worldwide.
As a Customer Support Senior Engineer at DEEPX, Max drives technical success for APAC customers adopting edge AI. With 15+ years of software engineering experience in embedded systems, he leverages his full-stack expertise to seamlessly integrate DEEPX’s low-power solutions, acting as a trusted global collaborator to accelerate ubiquitous AI.
See how Ultralytics YOLO, DEEPX NPUs, and Sixfab edge AI hardwares come together to enable efficient, real-world edge AI deployment at scale.