Hugging Face and Cerebras bring Gemma 4 to real-time voice AI
Hugging Face Blog
Hugging Face and Cerebras demonstrated a real-time speech-to-speech AI system using Google DeepMind's Gemma 4 language model paired with Cerebras inference acceleration to reduce response latency in voice conversations. The system achieves predictable performance at the P95 latency percentile by combining open-source components including Nvidia's Parakeet for speech recognition and Alibaba's Qwen3TTS for text-to-speech conversion. The modular architecture enables developers to deploy responsive voice AI for robots, assistants, and embodied AI applications where conversational naturalness depends on minimizing delays between user input and system response.
