Voice signal processing stands pivotal in AI’s progression, necessitating dynamic computational solutions. Enter Habana Gaudi: a paradigm in AI processors promising unparalleled efficiency and scalability. With voice signals’ intricate time-frequency dynamics, Gaudi’s integration with HBM2 offers optimized memory access while its support for TensorFlow and PyTorch bridges hardware power with software finesse. Emphasizing scalability, rapid memory access, and performance efficiency, Gaudi’s architecture is primed for next-gen voice applications, from generative models to emotion detection. This talk converges the innovative spirit of software engineers with the architectural prowess of Gaudi, heralding a transformative era in voice technology.