Random number sequences (RNSs) play a vital role in diverse scientific and engineering applications. They are critical to the integrity of classical and quantum cryptography, the accuracy of mathematical modeling and Monte Carlo simulations, and the core mechanics of fields as varied as secure communications and statistical sampling. The generation of truly random numbers depends on the intrinsic randomness of a physical process and is typically limited by electronic bandwidth and signal processing rates. Therefore, the most feasible solution for high-speed, real-time generation is to employ several parallel sources with lower individual entropy rates. In our work, we implement a multiplexing scheme to create a fast quantum random number generator, structurally tailored for high-bit-rate data transfer.