Speech Model Hosting
Self-Host Whisper, XTTS-v2, Kokoro TTS & Voice Agent Stacks — No Per-Minute Fees
Self-host Whisper transcription, XTTS-v2 voice generation and full voice agent pipelines on dedicated UK GPU servers. Replace ElevenLabs, Whisper API or Deepgram with fixed monthly pricing, private infrastructure and no per-minute fees.
What is Speech Model Hosting?
Speech model hosting means running text-to-speech (TTS), speech-to-text (ASR), voice cloning, and voice agent models on your own dedicated GPU server — instead of paying per-minute or per-character fees to API providers like ElevenLabs, Google Cloud Speech, or Amazon Transcribe.
With a GigaGPU dedicated GPU server you get the full GPU card, NVMe-backed storage, and a UK-based bare metal environment. Deploy Whisper, XTTS-v2, Kokoro TTS, Bark, Piper, or any open source speech model in minutes. No shared resources, no usage caps, no audio data leaving your environment.
The open source speech AI landscape has matured rapidly — models like Whisper Large v3 deliver commercial-grade transcription accuracy, while TTS models such as Chatterbox TTS and Kokoro TTS now produce natural-sounding speech suitable for production voice agents, audiobook narration, and customer-facing applications.
Built for private speech AI hosting, not shared-cloud speech API queues.
Supported Speech Models
Run the speech and audio models people are actually deploying for transcription APIs, TTS infrastructure, voice cloning and production voice agents. For mixed speech + text workflows, see Multimodal Model Hosting. For the LLM side of voice agents, see Open Source LLM Hosting.
Any Hugging Face-compatible speech, audio or TTS model can be deployed depending on GPU memory, framework support and latency target. Popular routes include Whisper Hosting, XTTS-v2 Hosting, Kokoro TTS Hosting, Coqui TTS Hosting, Bark Hosting and Chatterbox TTS Hosting.
Best GPUs for Speech Model Hosting
Recommended configurations based on typical speech and audio AI workloads.
16GB fits Whisper Large v3, Kokoro TTS, MeloTTS and most single-service speech workloads comfortably. A strong entry point for production transcription and TTS APIs.
24GB is the sweet spot for speech hosting. Run XTTS-v2, Chatterbox TTS, Bark, or Faster-Whisper with headroom for batch transcription, voice cloning, and concurrent requests.
Blackwell 2.0 delivers the lowest latency for realtime voice agent stacks — run Whisper + LLM + TTS on a single GPU with sub-second end-to-end response times for production voice bots.
RDNA 4 architecture with 32GB — a strong AMD option for teams needing extra VRAM headroom for multi-model speech stacks or large batch transcription jobs at a competitive price.
Which GPU Do I Need for Speech AI?
Answer three quick questions and we’ll recommend the right server for your speech workload.
Speech Model Hosting Pricing
Most teams move to dedicated GPU hosting once they exceed ~5,000–20,000 minutes/month of transcription or TTS generation — where API pricing scales poorly.
Speech model throughput figures are rough estimates under single-user, single-GPU conditions using Faster-Whisper / PyTorch. Real-world performance varies significantly with model, concurrency, audio length, and configuration. View all GPU plans →
How Much Can You Save vs Speech API Providers?
For sustained speech workloads, a flat-rate dedicated GPU server is often significantly cheaper than per-minute or per-character API billing. Here's how the models compare.
Speech API Pricing
Dedicated GPU
Example: Production Transcription at 10,000 Audio Minutes/Month
API cost estimates are based on publicly listed pricing at time of writing and are indicative only. Actual savings depend on model choice, usage patterns, and the specific API tier used. GPU server prices retrieved live from the GigaGPU portal. See our full ElevenLabs alternative comparison →
Speech API vs Dedicated GPU — Cost Calculator
Estimate your monthly savings when switching from per-minute speech API pricing to a dedicated GPU server.
Speech Model Hosting Benchmark — GPU Comparison
Indicative speech workload comparison for self-hosted TTS, Whisper transcription and real-time voice systems. For broader comparisons, see TTS Latency Benchmarks and GPU Comparisons.
| GPU | VRAM | XTTS-v2 RTF | Whisper Large v3 | Concurrent Voice Sessions | Relative Performance |
|---|---|---|---|---|---|
| RTX 4060 | 8 GB | ~1.8x realtime | ~12x realtime transcription | ~4 | |
| RTX 4060 Ti 16GB | 16 GB | ~2.6x realtime | ~18x realtime transcription | ~6 | |
| RTX 3090 | 24 GB | ~4.2x realtime | ~28x realtime transcription | ~10 | |
| Radeon AI Pro R9700 | 32 GB | ~4.0x realtime | ~26x realtime transcription | ~10 | |
| RTX 5090 | 32 GB | ~7.5x realtime | ~45x realtime transcription | ~18 | |
| RTX 6000 PRO | 96 GB | ~8.2x realtime | ~50x realtime transcription | ~24 |
Methodology: ASR figures measured with Faster-Whisper (CTranslate2) running Whisper Large v3 in fp16, single-stream, batch size 1, on 30-second WAV clips at 16kHz. TTS figures measured with XTTS-v2 default settings in fp16, single-stream, generating 10-second utterances. Concurrent voice session estimates assume a mixed ASR+TTS workload at production-level audio lengths (15–60s). All tests on a single GPU with no other workloads running. Real results vary with batching strategy, audio length, codec, model version and concurrent request patterns.
Whisper Transcription Speed by GPU — Visual Chart
Estimated realtime factor running Whisper Large v3 via Faster-Whisper. Single user, single GPU. Higher is faster.
Estimates only · Whisper Large v3 via Faster-Whisper · Single user · "45× RT" means 1 hour of audio transcribed in ~80 seconds
Speech Model Hosting Use Cases
From private transcription to production voice agents — dedicated GPU servers handle every speech and audio AI workload.
Voice Agents & Conversational AI
Build fully self-hosted voice agents by combining Whisper + an open source LLM + TTS on a single GPU. No third-party API latency or stacked per-call fees.
Call & Meeting Transcription
Transcribe calls, meetings, and interviews privately with Whisper or Faster-Whisper. Process thousands of hours per month at a flat rate with zero data leaving your server.
Audiobook & Narration Generation
Generate natural-sounding narration with XTTS-v2, Chatterbox TTS, or Bark. Produce hours of audio content without per-character billing.
IVR & Telephony AI
Power interactive voice response systems and telephony bots with low-latency TTS and ASR running on dedicated GPU hardware. Predictable cost for call-centre-scale deployments. Pair with a voice agent stack for full automation.
Multilingual Speech Systems
Deploy multilingual TTS and ASR using XTTS-v2, Whisper, or MeloTTS. Serve customers in 50+ languages from a single GPU server.
Private Healthcare & Legal Transcription
Run privacy-sensitive healthcare and legal transcription workflows on your own dedicated GPU server. Patient recordings, legal depositions, and confidential audio stay on private UK infrastructure — never sent to a third-party API.
Podcast & Media Processing
Transcribe, index, and generate show notes for podcasts with self-hosted Whisper. Add AI-generated intros, translations, or accessibility tracks using Kokoro TTS or Bark at scale.
Accessibility Tools
Build screen readers, document-to-speech tools, and real-time captioning systems with self-hosted TTS and ASR on dedicated GPU servers. No API dependencies, no usage limits.
Customer Support Voice Bots
Deploy customer-facing voice bots that handle enquiries, bookings, and support requests. Combine speech models with an LLM backend for intelligent conversation.
Voice Cloning & Custom Voices
Create custom brand voices or clone specific speakers with XTTS-v2, Chatterbox TTS, or F5-TTS. Your voice data stays private on your own hardware — a key reason teams switch from ElevenLabs.
Compatible Frameworks & Platforms
Every GigaGPU server ships with full root access — install any speech AI framework in minutes.
Deploy a Speech Model in 4 Steps
From order to serving audio inference — typically under an hour.
Choose Your GPU & Configure
Pick the GPU that fits your speech workload — TTS, ASR, or voice agent stack. Select your OS (Ubuntu 22/24, Debian, Windows) and NVMe storage size.
Server Provisioned
Your dedicated GPU server is provisioned and you receive SSH or RDP credentials. Typical deployment time is under one hour.
Install Your Speech Stack
Install Faster-Whisper, Coqui TTS, Kokoro TTS, or any speech framework via pip install or Docker. Pull models from Hugging Face and configure your API endpoint.
Start Serving Speech
Expose your TTS or transcription API via FastAPI or Nginx. You're live — unlimited audio minutes, zero per-call fees, private infrastructure, forever.
Speech Model Hosting — Frequently Asked Questions
Everything you need to know about self-hosting speech and audio AI models on dedicated GPU hardware.
pip install faster-whisper for ASR, or pip install TTS for Coqui/XTTS-v2 — pull the model weights from Hugging Face, and start the inference server. Most speech models can be running and serving requests within 15–30 minutes of first login. Docker images are also available for most popular models if you prefer containerised deployments.Available on all servers
- 1Gbps Port
- NVMe Storage
- 128GB DDR4/DDR5
- Any OS
- 99.9% Uptime
- Root/Admin Access
Our dedicated GPU servers provide full hardware resources and a dedicated GPU card, ensuring unmatched performance and privacy. Perfect for self-hosting speech models, TTS APIs, transcription pipelines, voice agents, and any other speech or audio AI workload — with no shared resources and no per-minute fees.
Get in Touch
Have questions about which GPU is right for your speech AI workload? Our team can help you choose the right configuration for your model, concurrency needs, and budget.
Contact Sales →Or browse the knowledgebase for setup guides on Whisper, TTS frameworks, and more.
Start Hosting Your Speech AI Today
Flat monthly pricing. Full GPU resources. UK data centre. Deploy Whisper, XTTS-v2, Kokoro TTS, Chatterbox and more in under an hour.
