System Requirements#

Hardware Requirements#

CPU: x86_64. Intel Core Ultra (Meteor Lake) or newer is recommended. Older Intel Core / Xeon processors will run the service but may be slower on OpenVINO inference paths.
Memory: 16 GB RAM minimum. 32 GB recommended when using larger TTS models (for example Qwen variants) or when keeping multiple sessions warm.
Disk: 20 GB free SSD space recommended for model assets, the Hugging Face cache, and per-session storage. NVMe is preferred for faster first-run model download and conversion.
GPU (optional): Intel integrated GPU (Meteor Lake or newer iGPU) or a supported discrete GPU exposed via /dev/dri for the OpenVINO GPU device path.
NPU (optional): Intel Core Ultra NPU is supported by OpenVINO for compatible models; set models.tts.device to NPU in config when available.

Device	Minimum	Recommended
CPU	x86_64	Intel Core Ultra (Meteor Lake) or newer
Memory	16 GB RAM	32 GB RAM
Disk	20 GB free SSD space	NVMe storage
GPU (optional)	Not applicable	Intel integrated GPU (Meteor Lake or newer iGPU) or a supported discrete GPU exposed via `/dev/dri`
NPU (optional)	Not applicable	Intel Core Ultra NPU configured via `NPU` device fields

Ubuntu 22.04 LTS (validated) or a compatible Linux distribution with a recent kernel.
For container deployment: Docker Engine and Docker Compose v2.
For GPU acceleration on Linux: Intel/OpenVINO host GPU runtime (e.g. intel-opencl-icd, level-zero) installed on the host. This is a separate prerequisite from the Python dependencies.

The standalone path additionally requires:

sudo apt-get update
sudo apt-get install -y libsndfile1

Outbound internet access on first run to download model assets from Hugging Face, unless models are pre-staged under models/ and the cache.
Inbound access to TCP port 8011 (default) for API clients.