Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
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Latest Version:
1.0.0
Generate synthetic datasets with the same characteristics as real data, so you can improve AI models without compromising on privacy.
Product Overview
Gretel Navigator generates production-quality synthetic data optimized for AI and machine learning development from prompts, schema definitions, or seed examples. Unlike single-LLM approaches to data generation, Navigator employs a compound AI architecture specifically engineered for synthetic data, combining top open-source SLM models fine-tuned across 10+ industry domains. This purpose-built system creates diverse, domain-specific datasets at scales of hundreds to millions of examples while preserving complex statistical relationships and offering increased speed and accuracy compared to manual data creation. Top use cases: * Creating synthetic data for LLM training and fine-tuning * Generating evaluation datasets for AI models and RAG systems * Augmenting limited training data with diverse synthetic samples * Creating realistic PII/PHI data for model testing
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Highlights
Quality Data On-Demand Domain-specific synthetic datasets created using Navigator not only meet but often surpass the quality of human-curated data, delivering faster access to the data you need.
Privacy-Preserving Data Synthetic data lacks the personal identifiers of real-world data, and with Gretel, users guarantees of privacy.
Purpose-Built for Generative AI As the first synthetic data platform built for generative AI applications, Gretel handles large-scale, complex data generation for data-centric AI.
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
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Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$23.995/hr
running on ml.g5.xlarge
Model Batch Transform$23.995/hr
running on ml.g5.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$1.408/host/hr
running on ml.g5.xlarge
SageMaker Batch Transform$1.408/host/hr
running on ml.g5.xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.g5.xlarge Vendor Recommended | $23.995 | |
ml.g5.2xlarge | $23.995 |
Usage Information
Sample notebook
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End User License Agreement
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Support Information
Gretel Navigator Tabular
AWS Infrastructure
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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