---
title: "Run Local Real-Time Voice AI at 1,800+ Tokens/Sec"
source_url: https://youtu.be/ZzQKg2wjS4I
captured_at: 2026-07-31
author: "Cloud Codes"
contributor: "ชิดชนก"
platform: youtube
---
# Run Local Real-Time Voice AI at 1,800+ Tokens/Sec

youtube video by **Cloud Codes**, 7m30s, uploaded 2026-07-31. URL: https://youtu.be/ZzQKg2wjS4I
Tags: hugging face, open source ai, voice ai, openai realtime api, nvidia parakeet, silero vad, qwen3 tts, kokoro tts, cerebras, gemma 4, llama cpp, mlx, speech to speech, system design, software engineering, machine learning, artificial intelligence, local llm, python, ai agents, silicon valley, open ai, tts, sts, ai, aimodels, voice agents, huggingface api key, ai agents tutorial, ai agent project, ai

## Shared in LINE Note+
- 2026-07-31 21:08 by ชิดชนก

## Description
Are you still paying massive token costs for the OpenAI Realtime API to run your conversational voice agents? Hugging Face just open-sourced the speech-to-speech real-time voice AI pipeline, allowing you to drop-in replace OpenAI's Python client with a local, Apache 2.0 licensed cascade featuring NVIDIA Parakeet TDT for transcription, Qwen3-TTS for voice cloning, and Silero VAD for interruptible voice detection—all by changing your base URL to 127.0.0.1.

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In this architectural breakdown, we expose the brutal economics of OpenAI's audio token billing ($32/1M input, $64/1M output) and how to completely eliminate it by running your language models locally via llama.cpp or Apple's MLX. We also explore the incredible 35x latency speedup achieved by pairing this open-source modular pipeline with Cerebras wafer-scale hardware, streaming Gemma 4 (31B) at 1,851 tokens per second to eliminate the dreaded LLM "thinking" delay. Whether you are building local robotics like the Reachy Mini or a high-volume customer support queue, this voice loop lets you swap Whisper for Parakeet, or Meta MMS for Kokoro, to perfectly control your