Chatterbox TTS Hosting | Real-Time AI Voice Generation on GPU – B2BHostingClub

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Choose a GPU Server for Chatterbox TTS Hosting

Unlock Expressive Multilingual Voices — Hosted Chatterbox TTS at Scale. Select a fully‐managed, production-ready hosting solution for Chatterbox TTS — high performance, low latency speech synthesis API without the infrastructure burden.

Advanced GPU Dedicated Server - RTX 3060 Ti

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  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Basic GPU Dedicated Server - RTX 5060

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  • 64GB RAM
  • GPU: Nvidia GeForce RTX 5060
  • 24-Core Platinum 8160
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Blackwell 2.0
  • CUDA Cores: 4608
  • Tensor Cores: 144
  • GPU Memory: 8GB GDDR7
  • FP32 Performance: 23.22 TFLOPS
  • This is a pre-sale product. Delivery will be completed within 2–7 days after payment.

Advanced GPU Dedicated Server - A4000

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  • 12GB RAM
  • GPU: Nvidia Quadro RTX A4000
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Advanced GPU Dedicated Server - A5000

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  • 128GB RAM
  • GPU: Nvidia Quadro RTX A5000
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • 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

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  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS

Advanced GPU VPS - RTX 5090

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  • 96GB RAM
  • Dedicated GPU: GeForce RTX 5090
  • 32 CPU Cores
  • 400GB SSD
  • 500Mbps Unmetered Bandwidth
  • OS: Linux / Windows 10/11
  • Once per 2 Weeks Backup
  • Single GPU Specifications:
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32GB GDDR7
  • FP32 Performance: 109.7 TFLOPS

Enterprise GPU Dedicated Server - RTX 5090

/mo

  • 256GB RAM
  • GPU: GeForce RTX 5090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • Single GPU Microarchitecture: Blackwell 2.0
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS
  • This is a pre-sale product. Delivery will be completed within 2–10 days after payment.

Coqui TTS vs 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.

Key Features of Hosted Chatterbox TTS

Chatterbox TTS is significant because it brings state-of-the-art TTS with voice-cloning, emotion/style control, and multilingual support into the open-source domain under a permissive licence.

Zero-shot voice cloning

Clone voices with only a few seconds of reference audio.

Emotion/exaggeration control

Allows you to adjust voice expressiveness from calm to dramatic.

Multilingual support

Supports at least 23 languages (Arabic, English, Spanish, French, Japanese, Chinese, etc.).

Low latency

Claimed sub-200 ms for inference in optimized settings, making it suitable for interactive/real-time applications.

Open source & MIT licence

Adds flexibility for customization and self-hosting.

Production readiness

Designed for creators, games, agents — not just a research prototype.

Frequently asked questions

Chatterbox TTS is an open-source, multilingual text-to-speech (TTS) model developed by Resemble AI known for its high-quality, natural-sounding voices and advanced voice cloning capabilities. It features zero-shot voice cloning, emotion control, and real-time, low-latency performance, making it suitable for use cases like audiobooks, game development, and interactive applications.
The multilingual model supports 23 languages out of the box.
Yes — with a short reference audio sample you can generate speech in that voice. This is supported in the voice cloning mode.
At minimum you’ll want a modern NVIDIA GPU (CUDA-capable), good CPU, SSD storage and sufficient RAM. But our hosted service abstracts away all infrastructure so you can focus on development.
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.
Yes. The underlying Chatterbox model is MIT-licensed and our hosting supports commercial usage, subject to your compliance with voice content, cloning rights, and voice-sample ownership.
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.
In optimized GPU-hosting scenarios Chatterbox reports sub-300 ms inference latency. Actual latency depends on text length, voice parameters and concurrent usage.

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