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What is Amazon Web Services (AWS)?

Amazon Web Services (AWS) is a global leader in cloud computing, providing the broadest and deepest set of cloud capabilities on the market. From compute and storage to advanced analytics, AI, and agentic automation, AWS enables organizations to build, scale, and transform their businesses. Enterprises rely on AWS for secure, compliant infrastructure while startups leverage it to launch quickly and innovate without heavy upfront costs. The platform’s extensive service catalog includes solutions for machine learning (Amazon SageMaker), serverless computing (AWS Lambda), global content delivery (Amazon CloudFront), and managed databases (Amazon DynamoDB). With the launch of Amazon Q Developer and AWS Transform, AWS is also pioneering the next wave of agentic AI and modernization technologies. Its infrastructure spans 120 availability zones in 38 regions, with expansion plans into Saudi Arabia, Chile, and Europe’s Sovereign Cloud, guaranteeing unmatched global reach. Customers benefit from real-time scalability, security trusted by the world’s largest enterprises, and automation that streamlines complex operations. AWS is also home to the largest global partner network, marketplace, and developer community, making adoption easier and more collaborative. Training, certifications, and digital courses further support workforce upskilling in cloud and AI. Backed by years of operational expertise and constant innovation, AWS continues to redefine how the world builds and runs technology in the cloud era.

What is Amazon SageMaker Model Building?

Amazon SageMaker provides users with a comprehensive suite of tools and libraries essential for constructing machine learning models, enabling a flexible and iterative process to test different algorithms and evaluate their performance to identify the best fit for particular needs. The platform offers access to over 15 built-in algorithms that have been fine-tuned for optimal performance, along with more than 150 pre-trained models from reputable repositories that can be integrated with minimal effort. Additionally, it incorporates various model-development resources such as Amazon SageMaker Studio Notebooks and RStudio, which support small-scale experimentation, performance analysis, and result evaluation, ultimately aiding in the development of strong prototypes. By leveraging Amazon SageMaker Studio Notebooks, teams can not only speed up the model-building workflow but also foster enhanced collaboration among team members. These notebooks provide one-click access to Jupyter notebooks, enabling users to dive into their projects almost immediately. Moreover, Amazon SageMaker allows for effortless sharing of notebooks with just a single click, ensuring smooth collaboration and knowledge transfer among users. Consequently, these functionalities position Amazon SageMaker as an invaluable asset for individuals and teams aiming to create effective machine learning solutions while maximizing productivity. The platform's user-friendly interface and extensive resources further enhance the machine learning development experience, catering to both novices and seasoned experts alike.

Media

Media

Integrations Supported

Amazon SageMaker
PyTorch
A10 Defend DDoS Mitigator
Airship
Asavie
Cisco Intersight
Currencies Direct
Cydenti
F5 BIG-IP Policy Enforcement Manager
Jamf School
Loadbalancer.org
Microsoft Exchange
NEMESIS
North.Cloud
Openli
Seers AI
Torchlite
Veza
Zluri

Integrations Supported

Amazon SageMaker
PyTorch
Google Cloud AutoML

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and Features

AI Cloud Providers

Not specified

Cloud Hosting

Not specified

Cloud Management

Access Control
Capacity Analytics
Demand Monitoring
Multi-Cloud Management
Performance Analytics
Workflow Approval

Cloud Storage

Access Control
Archiving & Retention
Backup
File Sharing
Version Control

DevOps

Policy Management

Hybrid Cloud

Not specified

IT Management

Capacity Monitoring
Compliance Management
IT Budgeting
User Activity Monitoring

Server Management

CPU Monitoring
Database Servers
Event Logs
History Tracking
Virtual Machine Monitoring

Web Hosting

Cloud Hosting
Multiple Datacenter Locations
Server Backups

Categories and Features

AI Infrastructure

Not specified

Machine Learning

Not specified

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