Amazon SageMaker
Build, train, and deploy machine learning models efficiently with Amazon SageMaker's fully managed infrastructure and tools.
Acerca de Amazon SageMaker
Amazon SageMaker is a comprehensive platform that enables developers and data scientists to streamline the entire machine learning workflow. From building and training models to deployment and management, SageMaker provides the tools and infrastructure needed to accelerate AI projects while ensuring scalability, security, and cost efficiency.
Características clave
Fully Managed Service
Amazon SageMaker eliminates the complexity of managing infrastructure, allowing teams to focus on developing and deploying machine learning models without the overhead of server maintenance.
Scalability
SageMaker automatically scales resources to meet the demands of your workload, supporting everything from small experiments to large-scale production deployments seamlessly.
Integrated Development Environment
The built-in Jupyter notebook interface provides a unified space for writing code, visualizing data, and running experiments, enhancing productivity for data scientists.
Support for Popular Machine Learning Frameworks
SageMaker supports leading frameworks like TensorFlow, PyTorch, and Apache MXNet, along with pre-built algorithms, offering flexibility for diverse machine learning tasks.
Automatic Model Tuning
Hyperparameter tuning in SageMaker automates the optimization of model parameters, saving time and computational resources during the training process.
Advanced Security Features
With IAM integration, encryption, and compliance with security standards, SageMaker ensures that machine learning projects are secure and meet enterprise requirements.
Cost Management
SageMaker's pay-as-you-go pricing model allows organizations to optimize costs by paying only for the resources they use, making it a cost-effective solution.
Precios
Página completa de preciosData Agent Credit
Pay-as-you-go pricing for SageMaker Data Agent based on credits consumed.
- Flexible pricing based on task complexity
- Minimum credit consumption of 0.01 credits
- Example: 4-8 credits for data transformation pipeline (15-30 cents total)
SageMaker Catalog Requests
Pay-as-you-go pricing for SageMaker Catalog requests.
- 10 cents per 100 requests
- 4,000 free requests per billing month per account
- Core APIs are always free
SageMaker Catalog Metadata Storage
Pay-as-you-go pricing for SageMaker Catalog metadata storage.
- 40 cents per GB
- 20 MB of free storage per billing month per account
SageMaker Catalog Compute
Pay-as-you-go pricing for SageMaker Catalog compute units.
- 177.6 cents per compute unit
- 0.2 free compute units per billing month per account
SageMaker Catalog Recommendations
Pay-as-you-go pricing for SageMaker Catalog AI recommendations.
- 1 cent per 1,000 input tokens
- 7.5 cents per 1,000 output tokens
- No free usage
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