How to Accelerate Future Edge AI with High-End GPU Computing?

Presented by

Daisy Chen, PM Manager at DFI Inc.

About this talk

Today, over 90% of the enterprise data is sent to the Cloud to be stored and processed. However, by 2025, this number will drop to just 25%. The remaining massive data is stored and processed on the edge. Accordingly, leveraging the AI to make edge computing more effective is becoming a trend in the IoT world. So why does edge AI matter? In this webinar you will learn more about how to accelerate AI at the edge and maximize AI solution with the in-depth embedded technologies powered by Intel technology and NVIDIA® GPU capability. It is made to satisfy versatile high-performance computing applications deployed in the IoT world like deep learning, machine learning, and edge computing to the Cloud. Join DFI's webinar to learn more about our edge AI deployment strategies in the embedded solutions, how we accelerate future AI solutions with high-end embedded solutions, and how we facilitate AI workload with our latest AI box PCs.

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DFI provides high-performance embedded computing solutions across multiple industries for over 40 years. With its innovative design and premium quality management system, DFI’s industrial-grade solutions enable customers to optimize their equipment and ensure high reliability, long-term life cycle, and 24/7 durability in a breadth of markets. Those markets include factory automation, medical, transportation, smart energy, gaming, mission-critical, and intelligent retail. Learn more at: These webinars cover a variety of topics related to embedded solutions in diverse applications and industries. Join our webinars to get the most in-depth insights from professional industry experts.