12/15/2025
While CPUs are flexible and GPUs excel at training large models, they both face limitations when you need ultra-low latency, predictable timing, and direct integration with sensors and I/O. FPGAs overcome these limitations by running neural networks as fully pipelined hardware, delivering real-time inference with minimal jitter and high energy efficiency.
Learn more in our new blog about comparing neural networks and real-time inference on CPUs, GPUs, and FPGAs: https://hubs.ly/Q03XXNsl0