
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.
CosyVoice 2 is useful for teams that want a modern open speech stack with private enterprise hosting and code-level runtime control.

Teams choose dedicated infrastructure for CosyVoice 2 when they need complete control over performance, security, runtime configuration, and production-scale reliability.
private speech generation
enterprise audio systems
open voice infrastructure
Modality
Audio
Deployment
Dedicated speech runtime on enterprise GPU
Inputs
Text, voice prompts, enterprise-managed audio assets
Outputs
Generated speech over dedicated private infrastructure
Production-quality outputs generated with CosyVoice 2 running on dedicated GPU infrastructure.

CosyVoice 2 sample output
Speech generation
Dedicated hosting
Private asset handling
Runtime control
AI voice systems
internal narration
private audio pipelines
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
Get CosyVoice 2 running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.
Starting at
$249/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
Explore similar deployment-ready models for your workflows.

Whisper Large V3 is still the obvious enterprise speech page because teams repeatedly need transcription that keeps private audio off shared infrastructure.

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F5-TTS is a strong page for enterprise audio buyers because it maps directly to private TTS infrastructure and custom voice pipeline control.

XTTS v2 is attractive when teams want open multilingual TTS inside dedicated infrastructure instead of sending voice content to shared providers.

OpenVoice V2 is a natural dedicated enterprise target when teams want private voice cloning and speech transformation workloads.
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