Heterogeneous Computing for AI at the Edge

AI at the Edge

IoT is evolving from simple devices feeding data to the cloud for analysis, to smart devices performing self-driven sophisticated inferencing and pattern-matching. Bringing Artificial Intelligence (AI) to the edge provides many benefits, including faster response time, enhanced security, improved mobility, and lower communication costs. As combinations of neural networks and frameworks, running on specialized computing cores, are ideal for specific tasks, heterogeneous computing is the best strategy for deploying AI. Download ADLINK’s solution brief to learn how to optimize an AI platform with CPU, GPU, FPGA, and ASIC.


  • Faster response
  • Enhanced security
  • Improved mobility
  • Lower communication costs

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