In our coverage of the semiconductor space, we typically think of two main vectors of hardware – the CPU and the GPU. Beyond that, we look at FPGAs, microcontrollers, and this decade is bringing the advent of the dedicated AI processor. What ties all of these products together is actually the FPGA - a field programmable gate array that allows a skilled technician to essentially build a custom circuit out of configurable gates. This means an FPGA can be used to design and simulate a full CPU or GPU, but also an FPGA offers a reconfigurable way to offer optimized compute power that adapts to the needs of its users without the cost of millions or tens of millions to design dedicated silicon. One...

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