Hi All - I'm really trying to help boost my biz acumen by understanding the pros & cons of using GPU vs FPGA accelerators within an ADAS solution. My [limited] understanding is GPUs are good for parallel processing, which helps in Deep Learning, thereby helping the car identify & recognize objects on the road. Whereas FPGAs are reprogramable logic that are good at executing one specific task, and once the Deep Learning is set, FPGAs can help the car infer and make decisions with low latency.
But where my finance brain is lost... is it seems (at a high level) a CPU + GPU + FPGA + Modem are all needed to help with getting an L5 car on the streets. So, why do you have Nvidia focusing on GPUs as the answer to ADAS and Intel focusing on FPGAs? What are the pros & cons of each?
Thanks for the help