Sold by: Waltsoft Inc.
Deployed on AWS
Whisper Tiny - Fastest Multilingual Speech Transcription on SageMaker
Overview
Deploy OpenAI Whisper Tiny on Amazon SageMaker for ultra-fast, private speech-to-text transcription across 99 languages. At only 39MB, Whisper Tiny delivers faster-than-real-time transcription on CPU, making it ideal for high-throughput batch pipelines, embedded voice commands, and cost-sensitive ASR workloads. No GPU required. Apache-2.0 licensed.
Highlights
- 39MB ultra-fast CPU transcription across 99 languages
- Faster-than-real-time transcription on CPU - ideal for high-throughput pipelines
- No GPU required - full network isolation for HIPAA/GDPR compliance
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
Vendor refund policy
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.
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Version release notes
Initial release
Additional details
Inputs
- Summary
Whisper Tiny - Fastest Multilingual Speech Transcription on SageMaker
- Input MIME type
- application/json
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
Support
Vendor support
Contact support@waltsoft.net for deployment assistance.
AWS infrastructure support
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