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Description
Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.
Description
Ascend AI Cloud Service delivers immediate access to substantial and affordable AI computing capabilities, serving as a dependable platform for both training and executing models and algorithms, while also providing comprehensive cloud-based toolchains and a strong AI ecosystem that accommodates all leading open-source foundation models. With its remarkable computing resources, it facilitates the training of trillion-parameter models and supports long-duration training sessions lasting over 30 days without interruption on clusters with more than 1,000 cards, ensuring that training tasks can be auto-recovered in less than half an hour. The service features fully equipped toolchains that require no configuration and are ready for use right out of the box, promoting seamless self-service migration for common applications. Furthermore, Ascend AI Cloud Service boasts a complete ecosystem tailored to support prominent open-source models and grants access to an extensive collection of over 100,000 assets found in the AI Gallery, enhancing the user experience significantly. This comprehensive offering empowers users to innovate and experiment within a robust AI framework, ensuring they remain at the forefront of technological advancements.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS HealthLake
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Aporia
Integrations
AWS App Mesh
AWS HealthLake
Amazon EC2 P4 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Aporia
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/
Vendor Details
Company Name
Huawei Cloud
Founded
1987
Country
China
Website
www.huaweicloud.com/intl/en-us/product/modelarts/ascendaicloud.html
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
