New AI Architectures Emerge to Challenge CPUs and GPUs

Demand for deep-learning accelerator (DLA) chips, also known as artificial intelligence (AI) processors, continues to be strong in spite of the pandemic. Deep-learning applications are being deployed throughout industry and can be found in everything from data centers to self-driving cars to edge devices, and embedded (IoT) systems. New entrants continue to emerge challenging large chip vendor incumbents in a market that has now topped $7 billion, growing 58% over 2019. A new report from The Linley Group, “A Guide to Processors for Deep Learning,” provides clear guidance on this dynamic market with concise analysis of deep-learning accelerators for artificial intelligence, neural networks, and vision processing for inference and training.

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