6. On-board implementation
As the operations performed by neural networks can be parallelized, GPUs or FPGAs can be used to accelerate calculations considerably.
Since the mid-2010s, embedded-compatible gas pedals have appeared, packing hundreds of GPUs into a stick with a format similar to that of a USB stick. These include :
The computational load is much more intense during training than during inference. Networks are therefore generally trained on servers or large GPUs before being implemented on embedded hardware. Inference uses real-life...
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On-board implementation