FPGA Acceleration uses Field-Programmable Gate Arrays to speed up machine learning computations. FPGAs can be programmed with custom logic tailored to specific ML operations, providing energy efficiency and low latency. They’re especially useful for high-speed inference in edge or real-time environments.