Hugging Face and Cerebras demonstrated a real-time speech-to-speech pipeline using Google DeepMind's Gemma 4 31B on July 1, 2026. The demonstration utilized an architecture that processes speech input through Nvidia's Parakeet for speech recognition. For text-to-speech conversion, the pipeline incorporates Alibaba's Qwen3TTS. The Gemma 4 vision-language model inference operates on Cerebras hardware within this system. According to the July 1, 2026, blog post from Hugging Face, the companies showcased the integration of these specific components to enable real-time processing. The post detailed how the speech recognition, language model inference, and text-to-speech modules function together in the demonstrated workflow. The same speech-to-speech pipeline technology also powers Reachy Mini robots, as noted in the announcement. The demonstration highlighted the capability of running the Gemma 4 31B model on Cerebras infrastructure while integrating third-party tools for audio processing. Hugging Face described the setup as a complete end-to-end solution for speech interaction. The announcement did not include performance benchmarks or comparative data against other systems. The blog post served as the primary source for the details regarding the model size, hardware specifications, and software components used in the July 1 event.