Transition from power-hungry GPUs to energy-efficient NPUs and discover how DEEPX delivers exceptional performance-per-watt for physical AI
Join Avnet Silica and DEEPX for an exclusive one-hour webinar introducing cutting-edge AI inference acceleration technology, now available in EMEA through Avnet Silica’s new, exclusive partnership with DEEPX. As the demand for edge AI continues to grow, traditional GPU solutions often fall short in power efficiency and thermal constraints. DEEPX addresses this critical gap with purpose-built edge-first AI processors that deliver exceptional performance per watt while maintaining high-precision inference.
In this session, you will discover how DEEPX technology enables efficient on-device AI inference, explore the DX-M1 architecture and its unique advantages, and learn about real-world use cases across various industries. Whether you’re developing smart cameras, robotics, industrial automation, or IoT devices, this webinar will show you how to accelerate your AI applications while maintaining strict power and thermal budgets.
You will also get hands-on insights into the software stack, see a live demonstration, and learn exactly how to get started with DEEPX solutions through Avnet Silica.
Why You Should Attend?
This session is tailored for professionals across the entire product development lifecycle:
- Business Leaders: Gain a competitive edge with scalable AI
- Engineers: Master NPU integration and model optimization
- Procurement: Source cost-effective, high-availability hardware
- Product Managers: Balance high-end AI features with strict power budgets
Agenda (1-Hour session)
- Strategic Partnership – Avnet Silica brings DEEPX innovation to Europe
- Market Trends – Why the industry is moving from GPUs to NPU-driven architectures
- Technology Overview – Maximising performance per watt while maintaining high-precision inference
- Products & Use Cases – Real-world applications in Smart Industry, Automation, and Robotics
- DX-M1 Architecture – Industrial-grade reliability and memory handling
- Software Stack – Fast-tracking development with the DXNN® SDK
- How to Start – Demos, hardware availability, and Embedded World 2026
- Roadmap – What the future will bring
- Q&A – Direct access to our experts

