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Audio

Whisper Large V3 on a dedicated GPU for your team

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

Inputs

Audio files, internal recordings, enterprise voice data

Outputs

Private speech-to-text transcripts and downstream text data

Whisper Large V3 sample output

Why teams deploy Whisper Large V3

Teams choose a dedicated GPU for Whisper Large V3 when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.

private transcription
sensitive audio pipelines
enterprise speech systems

Deployment details

Modality
Audio
Deployment
Dedicated speech-to-text runtime on enterprise GPU
Starting at
$1999/month

Supported capabilities

Speech to text
Dedicated audio processing
Private storage handling
Enterprise runtime control

Common use cases

call analytics
meeting transcription
internal media indexing

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 Whisper Large V3 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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