Amazon SageMaker Edge
Amazon SageMaker Edge empowers organizations to optimize, secure, and manage machine learning models on edge devices. It features the SageMaker Edge Agent, enabling data capture for model retraining and analysis. With customizable deployment options and a performance dashboard, users can ensure model integrity and enhance fleet efficiency effectively.
Top Amazon SageMaker Edge Alternatives
Amazon SageMaker Clarify
Amazon SageMaker Clarify empowers machine learning developers to uncover and address potential bias in their data and models.
Amazon SageMaker Feature Store
Amazon SageMaker Feature Store serves as a specialized, fully managed repository designed for storing, sharing, and managing machine learning features.
Amazon SageMaker Canvas
Amazon SageMaker Canvas enables users to effortlessly build, evaluate, and deploy machine learning models without coding, leveraging a visual interface.
Amazon SageMaker JumpStart
Amazon SageMaker JumpStart serves as a pivotal hub for machine learning, enabling users to swiftly evaluate and select foundation models based on established quality metrics.
Amazon SageMaker Autopilot
Amazon SageMaker Autopilot simplifies machine learning by automating model creation from tabular datasets.
Amazon SageMaker Model Building
Amazon SageMaker Model Building empowers users to seamlessly develop machine learning models through a unified web interface.
Amazon Monitron
Utilizing wireless sensors to collect vibration and temperature data, it facilitates secure data transmission to...
Amazon SageMaker Model Deployment
It supports low-latency and high-throughput scenarios, integrates seamlessly with MLOps tools, and automates model scaling...
Amazon Lookout for Metrics
By integrating with AWS services and third-party applications, it summarizes root causes, ranks them by...
Amazon SageMaker Model Monitor
It allows users to monitor data and model quality effortlessly, utilizing built-in statistical rules to...
Amazon EC2 UltraClusters
Co-located in AWS Availability Zones with Elastic Fabric Adapter networking, they enable rapid processing of...
Amazon SageMaker Model Training
It features advanced distributed training libraries, enabling efficient data handling across AWS instances...
Amazon EC2 Inf1 Instances
Equipped with up to 16 AWS Inferentia chips, they offer up to 2.3x higher throughput...
AWS Elastic Fabric Adapter (EFA)
With its custom OS bypass mechanism, EFA significantly boosts performance for HPC and machine learning...
Amazon EC2 Capacity Blocks for ML
With support for cutting-edge NVIDIA GPUs and AWS Trainium, users can reserve clusters ranging from...
Top Amazon SageMaker Edge Features
- Model drift analysis capabilities
- Real-world data retraining
- Customizable deployment options
- Integrated AWS IoT deployment
- Optimized model execution speed
- Performance monitoring dashboard
- Fleet health visualization
- Problematic model identification
- Secure model packaging
- Signature-based model authentication
- Data and metadata capture
- Third-party deployment integration
- Lightweight deployment for limited devices
- Edge model performance optimization
- Trigger-based data collection
- User-friendly console interface
- Real-time model performance insights
- Automatic model compilation
- Enhanced edge device compatibility
- Comprehensive model lifecycle management
Top Amazon SageMaker Edge Alternatives
- Amazon SageMaker Clarify
- Amazon SageMaker Feature Store
- Amazon SageMaker Canvas
- Amazon SageMaker JumpStart
- Amazon SageMaker Autopilot
- Amazon SageMaker Model Building
- Amazon Monitron
- Amazon SageMaker Model Deployment
- Amazon Lookout for Metrics
- Amazon SageMaker Model Monitor
- Amazon EC2 UltraClusters
- Amazon SageMaker Model Training
- Amazon EC2 Inf1 Instances
- AWS Elastic Fabric Adapter (EFA)
- Amazon EC2 Capacity Blocks for ML
