Pre-trained models
You don’t always need to train from scratch—many ready-to-use models exist.
Coqui TTS Hosting Service
Transform Text into Natural, Custom Voices — Hosted Coqui TTS at Your Fingertips. A fully-managed, enterprise-grade hosting solution for Coqui TTS powering voice-enabled applications — no infrastructure hassles, just API-ready speech.
Choose The Best GPU for Coqui TTS Hosting
Our platform runs Coqui TTS on optimized inference servers (GPU-accelerated) to deliver sub-second response times and high throughput. Whether you demand single-user responsiveness (e.g., voice assistant) or bulk generation (e.g., audiobook production), our architecture scales to meet your needs.
Hot Sale
Advanced GPU Dedicated Server - RTX 3060 Ti
$ 107.00/mo
55% OFF Recurring (Was $239.00)
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Order Now- 128GB RAM
- GPU: GeForce RTX 3060 Ti
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Hot Sale
Basic GPU Dedicated Server - RTX 5060
$ 117.182/mo
38% OFF Recurring (Was $189.00)
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Order Now- 64GB RAM
- GPU: Nvidia GeForce RTX 5060
- 24-Core Platinum 8160
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Professional GPU VPS - A4000
$ 129.00/mo
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Order Now- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10
- Dedicated GPU: Quadro RTX A4000
- CUDA Cores: 6,144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Advanced GPU Dedicated Server - A5000
$ 269.00/mo
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Order Now- 128GB RAM
- GPU: Nvidia Quadro RTX A5000
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
$ 409.00/mo
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Order Now- 256GB RAM
- GPU: GeForce RTX 4090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Advanced GPU VPS - RTX 5090
$ 339.00/mo
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Order Now- 96GB RAM
- 32 CPU Cores
- 400GB SSD
- 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: GeForce RTX 5090
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32GB GDDR7
- FP32 Performance: 109.7 TFLOPS
New Arrival
Enterprise GPU Dedicated Server - RTX 5090
$ 479.00/mo
1mo3mo12mo24mo
Order Now- 256GB RAM
- GPU: GeForce RTX 5090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Key Features & Capabilities of Hosted Coqui TTS
Multi-speaker
It can generate speech in many languages and switch speakers.
Multilingual support
It supports many languages (hundreds of models across more than a thousand languages in some configurations) and multiple speakers/voices.
Voice cloning & style transfer
For example the “XTTS-v2” model supports voice cloning with a short sample (e.g., 6 seconds) and cross-language voice transfer.
Deployment flexibility
Works via Python API, command line, and even as a local server.
Simplity & Scalability
Utilities to use and test your models. Modular (but not too much) code base enabling easy implementation of new ideas.
Coqui TTS and Chatterbox TTS
Here’s a comparison between Coqui TTS and Chatterbox TTS — two open-source text-to-speech (TTS) toolkits/models. I’ll cover their key features, strengths, weaknesses and suitable use-cases so you can decide which might fit your needs best.
| Feature | Coqui TTS | Chatterbox TTS |
|---|---|---|
| Origin & licensing | Coqui TTS is a toolkit originally developed (forked) from the Mozilla/Coqui TTS project. It supports a wide range of models and languages. The project’s company (Coqui AI) announced shutdown of hosted services in late 2023/early 2024, though the open-source code remains. |
Chatterbox TTS is developed by Resemble AI, released as an open-source model under MIT license. |
| Model scope / language support | Supports many models, including the “XTTS-v2” model: supports 17 languages. Also claims “+1100 languages” via certain frameworks. | Supports 23+ languages in the Chatterbox Multilingual model. |
| Voice cloning & zero-shot capabilities | XTTS-v2 supports voice cloning with just a short reference audio clip (6 seconds) and cross-language voice cloning. | Zero-shot voice cloning is a prominent feature: clone voices from a few seconds of reference audio; includes “emotion/exaggeration control.” |
| Emotion / style control | Coqui supports style and voice cloning, but less emphasis (in marketing) on exaggerated emotion controls. | Chatterbox emphasises expressive/emotional control (“exaggeration/intensity control”) as a key differentiator. |
| Intended audience & usability | Strong toolkit orientation: many models, training/fine-tuning, researcher/developer focus. Eg: blog says “for software engineers and data scientists.” | More turnkey/model-oriented: the model itself is emphasised, with developers/creators in mind (games, video, agents) and easy reference audio support. |
| Performance / latency claims | Documentation indicates streaming inference with <200 ms latency under “XTTS” model. | Claims “ultra-low latency of sub 200ms” for production use in interactive media. |
| Model maturity / ecosystem | Larger and more mature ecosystem of tools, many models, fine-tuning support, dataset utilities. | Very recent release (as of 2024/2025), high quality, but fewer years of ecosystem maturity compared to Coqui’s history. |
| Community feedback & limitations | Some community commentary: e.g., one Reddit user: “Cloned voice does not feel like clone (although it did have some features of the source voice).” Also note the company shutdown means less commercial backing, maybe less support/maintenance. |
Early reviews highlight excellent cloning and expressiveness; but some users mention install / dependency issues. |
| Licensing & commercial use | The code is open source; however you’ll want to confirm specific model license and commercial-use restrictions. The company’s shutdown may impact future updates/hosting. | MIT-licensed model (Chatterbox) means very permissive use, which is a strong plus. |
| Best suited for | Projects where you want full control: self-hosting, fine-tuning/custom voices, many languages, training your own models. | Projects where you care most about voice quality, expressiveness, voice-cloning ease, and want a “plug-in” model ready for use without heavy training. |
✅ Which to choose when?
- If your priority is voice cloning + expressiveness (emotion, style) and you want something ready to use with minimal fuss, Chatterbox TTS is very attractive: the MIT license, strong language support, and advanced features like emotion control make it quite compelling.
- f your priority is flexibility, many languages, and you might want to train/fine-tune models yourself, then Coqui TTS remains a strong choice — just be aware of the ecosystem/support implications (company shutdown etc).
FAQs of Coqui TTS Hosting
What is Coqui TTS?
Coqui TTS is an open-source text-to-speech (“TTS”) toolkit for converting written text into spoken audio. It supports many languages (hundreds of models across more than a thousand languages in some configurations) and multiple speakers/voices. It can be used for voice cloning, multilingual TTS, and fine-tuning custom voices.
What languages are supported?
The core XTTS-v2 model supports 17 languages including English, Spanish, French, German, Portuguese, Russian, Arabic, Chinese, Japanese, Korean, Hungarian, Hindi and more.
Can I clone voices from a short audio sample?
Yes — voice cloning is supported with as little as 6 seconds of reference audio in the XTTS-v2 model.
What GPU specs do I need for Coqui TTS Hosting?
For a hosting/inference scenario – here are recommended specs:
Entry hosting: One GPU with ~8 GB VRAM (e.g., NVIDIA RTX 3060Ti 8GB) — good for small-scale hosting, light concurrency.
Mid hosting: One GPU ~16-24 GB VRAM (e.g., RTX A4000 16GB / RTX 4090 / 24 GB class) — better for moderate concurrency, multiple voices, higher throughput.
High-throughput / multi-tenant hosting: Multiple GPUs or one large GPU (e.g., RTX 5090 32 GB VRAM), high memory, fast IO. For many simultaneous requests, low latency, many voices.
Entry hosting: One GPU with ~8 GB VRAM (e.g., NVIDIA RTX 3060Ti 8GB) — good for small-scale hosting, light concurrency.
Mid hosting: One GPU ~16-24 GB VRAM (e.g., RTX A4000 16GB / RTX 4090 / 24 GB class) — better for moderate concurrency, multiple voices, higher throughput.
High-throughput / multi-tenant hosting: Multiple GPUs or one large GPU (e.g., RTX 5090 32 GB VRAM), high memory, fast IO. For many simultaneous requests, low latency, many voices.
Can I use the generated audio commercially?
Yes — but you should ensure your usage of Coqui models complies with licensing terms. The XTTS-v2 model is licensed under the Coqui Public Model License.
What infrastructure do I need?
None — we host it for you. If you choose self-hosting (on-premises or in your cloud), you’ll want a GPU-accelerated server for best performance.