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Choose the appropriate GPU model according to the Bark model size.
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To self-host the suno/bark or suno/bark-small models from Hugging Face, the GPU requirements vary significantly depending on the version of the model you choose and your latency expectations. Below is a GPU recommendation for both versions:
|
Model Name
|
Size (4-bit Quantization)
|
Recommended GPUs
|
|---|---|---|
| suno/bark | 22.2 GB | A6000 < A100-40gb < 2*RTX4090 |
| suno/bark-small | 1.7GB | RTX2060 < RTX3060ti < T1000 < RTX4060 < V100 |
Key Features Suno Bark Service Hosting — optimized for deploying suno/bark and suno/bark-small models on a GPU server
Convert text into expressive speech with music-like intonation in multiple voices.
Supports English and other languages, with intelligent switching in mixed-language input.
Can generate speech in different tones, accents, and emotional expressions.
Leverages NVIDIA GPUs (e.g. A100, 3060, 4090) for efficient model inference and low latency.
Support for controlling voice presets, prosody, and audio duration.
Compatible with FastAPI, Docker, Gradio, Streamlit, and even Triton Inference Server setups.
Easily turn Bark into a speech API server for web/mobile apps or streaming systems.
Choose between suno/bark (full model) or bark-small for faster inference with smaller VRAM.
Output audio in WAV/MP3/OGG formats, ready for broadcasting or post-processing.
Keep your data and TTS requests secure by running on your own server without third-party APIs.
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