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The markets for AI are growing rapidly. It is predicted that the value of the global AI market will reach $3.9 trillion in 2022. Edge AI obtains data at the edge, processes it and returns insights in a fraction of a second, enabling right actions to be taken in the right time. GPU computing can react faster in AI applications at the edge. Such uses include medical imaging, manufacturing defect inspection, traffic flow analysis and more.
Key Takeaways
- Global AI market prospects in various market segments
- How to tap the power of NVIDIA Quadro® RTX performance for AI at the edge
- Why to choose ADLINK’s embedded MXM GPU modules for edge AI
keyword: MXM, GPU, Turing, NVIDIA, edge AI, edge computing, GPGPU