Sold by: Gradium
Deployed on AWS
Gradium builds the technological backbone, models and infrastructure, to support all voice applications. We work at the finest level of details to design natural, expressive, real-time voice interactions at scale.
Overview
We provide real-time Text to Speech and Speech to Text models in English, French, German, Spanish and Portuguese, instant voice cloning and much more.
Highlights
- Real time
- Highly expressive
- 5 languages
Details
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
ml.g6e.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.xlarge instance type, real-time mode | $12.00 |
ml.g5.xlarge Inference (Real-Time) | Model inference on the ml.g5.xlarge instance type, real-time mode | $12.00 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $12.00 |
ml.g5.4xlarge Inference (Real-Time) | Model inference on the ml.g5.4xlarge instance type, real-time mode | $12.00 |
ml.g5.8xlarge Inference (Real-Time) | Model inference on the ml.g5.8xlarge instance type, real-time mode | $12.00 |
ml.g5.12xlarge Inference (Real-Time) | Model inference on the ml.g5.12xlarge instance type, real-time mode | $12.00 |
ml.g5.16xlarge Inference (Real-Time) | Model inference on the ml.g5.16xlarge instance type, real-time mode | $12.00 |
ml.g5.24xlarge Inference (Real-Time) | Model inference on the ml.g5.24xlarge instance type, real-time mode | $12.00 |
ml.g5.48xlarge Inference (Real-Time) | Model inference on the ml.g5.48xlarge instance type, real-time mode | $12.00 |
Dimensions summary
You pay by the hour for the compute instance that runs the text-to-speech model. One option uses an ml.m5.large instance in batch mode, which processes audio in bulk rather than live. All other options run in real-time mode for live streaming. These real-time options span several GPU instance families and sizes, from single-GPU types up to multi-GPU configurations. Larger instances handle more processing load and concurrency. You choose the instance that fits your throughput needs, and billing accrues per host hour while the instance runs.
Top-of-mind questions for buyers
You pay per host hour, meaning one hour that a chosen compute instance runs. Each running instance accrues charges while it is active. The instance size and GPU family you select determine the hourly rate. Counting is based on actual running time, not on audio volume or number of requests.
Software charges accrue per host hour only while the instance runs. A fully stopped instance does not accrue these hourly software charges. Underlying AWS infrastructure fees, such as storage, may still apply separately depending on your setup. Stop the instance when idle to avoid hourly software charges.
The ml.m5.large batch option processes audio in bulk rather than streaming it live, and runs on a CPU-style instance. The real-time options run on GPU instance families for live streaming. Both bill per host hour. Choose batch for bulk jobs and real-time for interactive, low-latency audio generation.
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Validated Gradium real-time text-to-speech model update.
Additional details
Inputs
- Summary
Bidirectional streaming for real-time inference
- Input MIME type
- application/json, application/octet-stream
{"type":"text","text":"foo"}
Not applicable
Resources
Vendor resources
Support
Vendor support
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.
Similar products
Gradium builds the technological backbone, models and infrastructure, to support all voice applications. We work at the finest level of details to design natural, expressive, real-time voice interactions at scale.
Gradium builds the technological backbone, models and infrastructure, to support all voice applications. We work at the finest level of details to design natural, expressive, real-time voice interactions at scale.
Gradium builds the technological backbone, models and infrastructure, to support all voice applications. We work at the finest level of details to design natural, expressive, real-time voice interactions at scale.
A voice AI platform delivering real-time Text-to-Speech, Speech-to-Text, and instant voice cloning through streaming WebSocket APIs. Build low-latency voice agents in English, French, German, Spanish, and Portuguese with a single API key.
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