The DigAn architecture is designed to accelerate neural network models for AI inference. Each neuron is defined at the hardware level. This gives the DigAn architecture its speed and power efficiency. DigAn enables our GPX processors to perform inference and training on the device so models aren’t stored in a data center, and inference doesn’t occur in the cloud. DigAn is on-device AI.
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