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AI Edge Computing

The significant growth of artificial intelligence (AI) applications and services drives the integration of innovation and edge intelligent system, enabling AIoT. Advantech offers a full range of AI acceleration modules and inference systems powered by Intel Movidius and NVIDIA Jeston, allowing enterprises, developers, and education institutions to complete AI development in a short time.

Top 3 Challenges for Developers

Deep learning needs to process big data and video analysis which slow down systems’ computing efficiency

Deep learning requires big data processing and video analysis, which slows down system computing efficiency?

How to maintain the compatibility and high efficiency between AI modules and hardware?

How to select a solution to increase AI efficiency, and with low power consumption and cost?

Consult AI Experts for Direct Support

AI Application Note

How Advantech is Bringing Real-time AI to the Edge ?

When entering a warehouse of an e-commerce company, it is normal to see crowds moving and goods going between the rows of shelves….

Free Download

One Min. Tech

Choosing a Deep Learning Inference Hardware

The inference phase of AI projects is where most of the compute cost is, with over 90% of the compute time spent in inference and only 10% of overall.

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