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# Hugging Face and Cerebras bring Gemma 4 to real-time voice AI

**[Hugging Face](https://daily.dev/sources/huggingface)** · 3 min read · 0 upvotes · 0 comments

## Summary

Hugging Face and Cerebras have built a real-time speech-to-speech pipeline that significantly reduces voice AI latency. The open, modular architecture chains Nvidia's Parakeet for speech recognition, Google DeepMind's Gemma 4 31B for language model inference running on Cerebras hardware, and Alibaba's Qwen3TTS for text-to-speech output. Cerebras addresses the long-tail latency problem — where P95 delays make conversations feel unreliable — by providing fast, stable LLM inference. The same pipeline already powers over 9,000 Reachy Mini robots. Every component is open and replaceable, allowing developers to adapt the stack for assistants, robots, or research.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/cerebras-gemma4-voice-ai>

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---

Tags: [#gemma](https://daily.dev/tags/gemma), [#voice-ai](https://daily.dev/tags/voice-ai)

[View this post on daily.dev](https://daily.dev/posts/hugging-face-and-cerebras-bring-gemma-4-to-real-time-voice-ai-yts3ffat6)

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