AudioDedicated GPU
Whisper Large V3
Whisper Large V3 is still the obvious enterprise speech page because teams repeatedly need transcription that keeps private audio off shared infrastructure.
Speech to textDedicated audio processing
Audio
XTTS v2 on a dedicated GPU for your team
XTTS v2 is attractive when teams want open multilingual TTS inside dedicated infrastructure instead of sending voice content to shared providers.
Inputs
Text, voice prompts, multilingual enterprise content
Outputs
Generated speech across dedicated private runtimes
Why teams deploy XTTS v2
Teams choose a dedicated GPU for XTTS v2 when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.
multilingual private TTS
voice product infrastructure
enterprise audio stacks
Deployment details
- Modality
- Audio
- Deployment
- Dedicated multilingual TTS runtime on enterprise GPU
- Starting at
- $1999/month
Supported capabilities
Text to speech
Multilingual output
Dedicated deployment
Private storage handling
Common use cases
international voice products
private narration
multilingual internal tooling
Resources and references
What you get with Enterprise
Dedicated GPU deployment with no shared queue contention
100% private workloads, prompts, and generated outputs
Code access for custom runtimes, adapters, and optimization
Bring-your-own S3 storage for assets, checkpoints, and outputs
Enterprise Deployment
Get a dedicated GPU for this model
Get XTTS v2 running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.
Full privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Your own S3 for checkpoints and generated assets
Dedicated GPU — no shared queue or throttling
Starting at
$1999/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
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