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
OpenVoice V2 on a dedicated GPU for your team
OpenVoice V2 is a natural dedicated enterprise target when teams want private voice cloning and speech transformation workloads.
Inputs
Voice references, text, enterprise audio assets
Outputs
Cloned or transformed voice outputs inside private infrastructure
Why teams deploy OpenVoice V2
Teams choose a dedicated GPU for OpenVoice V2 when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.
private voice cloning
audio personalization
enterprise speech tooling
Deployment details
- Modality
- Audio
- Deployment
- Dedicated voice runtime on enterprise GPU
- Starting at
- $1999/month
Supported capabilities
Voice generation
Voice cloning
Private audio handling
Dedicated hosting
Common use cases
voice products
personalized narration
internal audio systems
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 OpenVoice 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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