Sold by: NVIDIAÂ
Deployed on AWS
Parakeet transcribes audio into text, using spaces and apostrophes where needed
Overview
Parakeet is a major step forward in the evolution of conversational AI. Its exceptional accuracy, coupled with the flexibility and ease of use offered by NeMo, empowers developers to create more natural and intuitive voice-powered applications. The possibilities are endless, from enhancing the accuracy of virtual assistants to enabling seamless real-time communication.
Highlights
- Architecture Type: Convolutional Neural Network + Transformer
- Network Architecture: Fast Conformer Encoder with CTC Decoder
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.g5.48xlarge Inference (Batch) Recommended | Model inference on the ml.g5.48xlarge instance type, batch mode | $1.00 |
ml.g6e.12xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.12xlarge instance type, real-time mode | $1.00 |
ml.g5.2xlarge Inference (Batch) | Model inference on the ml.g5.2xlarge instance type, batch mode | $1.00 |
ml.g5.4xlarge Inference (Batch) | Model inference on the ml.g5.4xlarge instance type, batch mode | $1.00 |
ml.g5.8xlarge Inference (Batch) | Model inference on the ml.g5.8xlarge instance type, batch mode | $1.00 |
ml.g5.16xlarge Inference (Batch) | Model inference on the ml.g5.16xlarge instance type, batch mode | $1.00 |
ml.g5.12xlarge Inference (Batch) | Model inference on the ml.g5.12xlarge instance type, batch mode | $1.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $1.00 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $1.00 |
ml.g5.4xlarge Inference (Real-Time) | Model inference on the ml.g5.4xlarge instance type, real-time mode | $1.00 |
Vendor refund policy
None
Legal
Vendor terms and conditions
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Additional details
Inputs
- Summary
Model input summary: Real-time sample input:
- Input MIME type
- multipart/form-data
------WebKitFormBoundaryf971921086e54b1284bac442219e7ac5
Content-Disposition: form-data; name="file"; filename="test.wav"
Content-Type: audio/wav
<binary audio bytes>
------WebKitFormBoundaryf971921086e54b1284bac442219e7ac5
Content-Disposition: form-data; name="language_code"
en-US
------WebKitFormBoundaryf971921086e54b1284bac442219e7ac5--
No sample data for Batch job, can use same as above
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
file | The raw audio content is read from disk and attached as multipart form data. | Binary WAV (16 kHz, mono, PCM 16-bit) | Yes |
file.filename | Name of the audio file (e.g. "test.wav") | String | Yes |
file.content_type | MIME type identifying the file as WAV audio. | Must be "audio/wav" or "audio/x-wav" | Yes |
language_code | Language to use for speech-to-text inference.
Optional (English Only) | "en-US" | No |
ContentType | Header telling SageMaker the request body is multipart form data. | "multipart/form-data; boundary=<uuid>" | Yes |
boundary | Separates parts of the multipart payload. | Alphanumeric UUID | Yes |
Support
Vendor support
Support description Free support via NVIDIA NIM Developer Forum:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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