Overview
Deploy OpenAI Whisper Small on Amazon SageMaker for enterprise-grade speech transcription across 99 languages. Whisper Small delivers near-large accuracy at 6x smaller size (244MB), with no GPU required and full network isolation for HIPAA and GDPR compliance. Used by production ASR pipelines worldwide. Apache-2.0 licensed.
Highlights
- 244MB near-large accuracy - 6x smaller than Whisper Large
- 99 languages - medical dictation, legal transcription, call recording
- Full network isolation for HIPAA, SOC2, and GDPR-compliant pipelines
Details
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.10 |
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.10 |
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No refunds.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
Initial release
Additional details
Inputs
- Summary
Whisper Small - Enterprise Speech Transcription in 99 Languages on SageMaker
- Input MIME type
- application/json
Support
Vendor support
Contact support@waltsoft.net for deployment assistance.
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