Hugging Face and Cerebras enable real-time voice AI with Gemma 4

Hugging Face and Cerebras have collaborated to create a real-time voice AI experience using Gemma 4. This new system integrates Google DeepMind's Gemma 4 VLM with Cerebras's fast inference capabilities and Alibaba's Qwen3TTS for speech-to-speech conversion. The goal is to significantly reduce latency, making conversational AI interactions feel more natural and responsive, similar to human conversation. This open-source pipeline is already powering Reachy Mini robots and aims to foster the development of next-generation conversational AI. AI

IMPACT Accelerates the development of responsive, real-time conversational AI applications by showcasing a low-latency, open-source pipeline.

RANK_REASON Demonstration of an existing model (Gemma 4) integrated into a new pipeline for a specific application (real-time voice AI) by third parties (Hugging Face, Cerebras).

Read on Hugging Face Blog →

• Alibaba
• Cerebras
• Gemma 4
• Google DeepMind
• Hugging Face
• Nvidia
• Parakeet
• Qwen3TTS
• Reachy Mini

• product
• infra

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →